Python Developer specializing in FastAPI, Django, Flask & AI/ML solutions ⭐ Top Rated Plus – Ranked in the Top 1% of Lead Python developers on Upwork ✅ 14+ Years of Senior Python Excellence | 13,000+ Hours Delivered I personally handle all development and client communication, ensuring high-quality, scalable, and secure applications without outsourcing. From MVPs to enterprise SaaS platforms, I transform complex requirements into production-ready systems. I’ve been working with Django (since v0.3), Python (v2.3+), FastAPI, Flask, and React. I specialize in building intelligent systems with AI/ML, NLP, and LLMs. Since 2019, I’ve been leading cross-functional teams globally, while also working individually with clients to deliver clean, scalable solutions. Most of my work has been on production systems already serving real users, where I acted as the technical owner, not just an implementer. 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: Contributed to Open edx: Enhanced the global open-source learning platform with Python/Django. KredX Financial Platform: Built APIs & real-time analytics with FastAPI for high-volume transactions. The Entertainer (Python + React): Delivered large-scale consumer app supporting millions of users. Moeving Mobility Platform: Designed scalable Python microservices for real-time fleet management. MTailor: Automated ML pipelines for computer vision body measurements. Surmount.AI: Built AI-powered legal assistant using Django + FastAPI + LLMs. Deflection.AI: Customer support system with Python APIs + vector similarity + NLP. I help startups and enterprises turn ideas into production-ready software. From rapid MVPs to AI-powered platforms, I combine deep technical expertise with hands-on leadership, guiding global cross-functional teams to deliver results on time and at scale. I am a CTO-level Senior Python Developer to lead the technical direction and hands-on development of a scalable, cloud-native platform built on Python and AWS 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Backend & APIs: Python (FastAPI, Django, Flask), REST, GraphQL, async programming, microservices Databases: PostgreSQL, MySQL, MongoDB, Redis (optimized schemas, queries, and data modeling) AI/ML & Data: LLMs (OpenAI GPT, Whisper), NLP pipelines, TensorFlow, PyTorch, Pandas, NumPy Cloud & DevOps: AWS (Lambda, ECS, RDS, S3), GCP, Azure, Docker, Kubernetes, CI/CD automation Full Stack Collaboration: React, Next.js, Vue.js with secure, Python-driven backends 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿: ✔️ Scalable REST/GraphQL APIs & microservices ✔️ Data pipelines & AI/ML-powered systems ✔️ Cloud-native architectures (AWS/GCP/Azure) ✔️ Secure, tested, and future-proof code (CI/CD) ✔️ MVP-to-enterprise scaling with clear communication 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Python Developer | Django Expert | FastAPI Developer | Flask Developer | Backend Engineer | API Development | AI/ML Engineer | Chatbot Developer | NLP Specialist | React Developer | SaaS Architecture | Cloud & DevOps | Docker | AWS | Data Pipelines | LLMs | TensorFlow | PyTorch | Web Scraping

I 𝗖𝗢𝗡𝗦𝗨𝗟𝗧 first, then I 𝗕𝗨𝗜𝗟𝗗 AI agents that actually do the work. If you already know 𝒆𝒙𝒂𝒄𝒕𝒍𝒚 what needs to be automated and how, we can jump straight into execution. But most businesses do not need “just an automation.” They need someone to understand the current workflow, find where time or revenue is leaking, map the right system, and then build it properly. That is how I work. I start by understanding your manual process, identifying bottlenecks, deciding which steps actually need AI, and creating a clear roadmap before development begins. Because here is the truth: Most developers jump straight into building. That often leads to messy workflows, broken automations, rework, unnecessary tools, and systems your team still has to babysit. I 𝒅𝒐𝒏’𝒕. I design the system first. Then I automate it. Are your leads slipping through the cracks? Are customers waiting too long for follow-up? Is your team spending hours on calls, intake, CRM updates, appointment booking, WhatsApp replies, document review, or manual data entry? I build AI agents and automation systems that handle real operational work: ✅ Answer calls ✅ Qualify leads ✅ Book appointments ✅ Recover abandoned checkouts ✅ Send SMS and WhatsApp follow-ups ✅ Update CRMs and databases ✅ Process documents ✅ Handle patient/client intake ✅ Escalate edge cases to humans ✅ Show activity through dashboards Not basic chatbots. Not random Zaps. I build AI operators — systems that connect to your tools and move your business forward while your team focuses on higher-value work. Since 2021, I have built AI automation systems, voice agents, and workflow automations for healthcare providers, law firms, e-commerce brands, real estate teams, dental clinics, restaurants, pet care businesses, sales teams, and content operations. 𝐈 𝐡𝐚𝐯𝐞 𝐛𝐮𝐢𝐥𝐭: ✅ AI voice agents for inbound and outbound calls ✅ Shopify post-purchase upsell agents ✅ Abandoned checkout recovery workflows ✅ WhatsApp AI customer support agents ✅ Healthcare patient intake voice agents ✅ Dental AI receptionists ✅ Legal intake and claims automation systems ✅ Commercial lease review AI agents ✅ Cold calling and cold email automation pipelines ✅ CRM cleanup, lead routing, and follow-up systems ✅ RAG assistants trained on company data ✅ Full-stack dashboards for calls, leads, bookings, and workflows 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Instant Shopify Upsell Agent AI voice agent that calls customers within minutes of purchase, recommends a complementary product, sends a private discount code by SMS, and tracks the outcome. Healthcare Patient Intake Agent Trilingual AI voice intake agent for Primary Care, Orthopedic, and Psychiatric workflows, capturing 40+ structured fields and syncing patient data in real time. AI Legal Intake & Claims Automation System for a personal injury law firm that qualifies leads, sends retainers, creates CasePeer cases, generates documents, and triggers insurance claim follow-up calls. Dental AI Voice Agent 24/7 AI receptionist for dental clinics, handling calls, appointment booking, reminders, FAQs, and post-visit feedback. Commercial Lease Review Automation 5-agent AI lease review system that extracts terms, benchmarks clauses, generates reports, tracks deadlines, and sends stakeholder updates. Stories Flooring AI Automation 3-agent system for a UK retailer: WhatsApp support, post-purchase SMS workflows, and outbound voice calls to convert sample customers into buyers. 🛠 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐟𝐨𝐫: AI Voice Agents: Vapi, Twilio, Deepgram, ElevenLabs, Whisper Workflow Automation: n8n, Make, Zapier, Airtable, Google Sheets, APIs AI Agents & LLMs: OpenAI, GPT-4o, Claude, Gemini, LangChain, RAG E-commerce: Shopify, Klaviyo, WhatsApp, SMS, upsells, cart recovery Healthcare & Legal: Intake, booking, reminders, claims, DocuSign, CasePeer CRM & Sales: GoHighLevel, HubSpot, Pipedrive, lead routing, outreach Full-Stack Systems: React, Next.js, Node.js, FastAPI, Supabase, MongoDB, AWS 𝐖𝐡𝐲 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞? Because I do not just “connect tools.” I understand the business process, design the workflow, build the automation, connect the AI layer, test the edge cases, and make sure your team can actually use the system. You are not hiring me to build a random automation. You are hiring me to remove a bottleneck. Send me your current process. I will tell you what should be automated, what should stay human, and what I would build first. Let’s build a system that works while you do not have to babysit it.

Once an Astrophysics Researcher, now a 3× AI Founder. I turned curiosity about the universe into AI systems that drive measurable business outcomes. I’m Vivekjyoti Bhowmik, Founder of TOINGG an AI Communication OS and PGAGI, an AI consultancy building production-grade AI systems for businesses across the US, UK, GCC, UAE, Australia, and India. Over the last few years, my team and I have built 80+ AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation One of the platforms we helped build, Branify, crossed 50,000+ live users within one month of launch in 2026 may. Across our portfolio, more than 70% of the products we’ve built are live, used by real customers, and have paying users. Today, we don’t just “build AI.” We implement AI into business workflows to generate ROI within 90 days. What We Actually Do We design and deploy AI systems that replace manual work, increase conversion, and reduce operational load. → Turn inbound leads into qualified meetings automatically → Replace repetitive operations with AI-driven workflows → Build AI systems on top of your existing stack — CRM, WhatsApp, ERP, databases, spreadsheets, and internal tools → Create decision systems that improve revenue, not just dashboards → Build scalable AI products with multi-tenant architecture, role-based access, usage tracking, and production monitoring Real Business Impact ✅ AI Communication System — TOINGG handles high-volume AI calling workflows with scalable infrastructure and 99.9% uptime focus ✅ Branify — 50,000+ live users within one month of launch ✅ Outreach System — 200 cold messages converted into 8 qualified meetings and $7million sales in pipeline ✅ Global Clients — US, UK, UAE, GCC, Australia, and India ✅ 70%+ of products built are live with real users and paying customers Revenue & Sales Systems We build AI systems that help businesses convert more leads without increasing manual workload. Examples: → Lead comes in → AI qualifies the lead → Tags them as HOT / WARM / COLD → Books a call → Updates CRM → Hands off to the sales team only when needed This helps your team focus on high-value conversations instead of repetitive follow-ups, lead sorting, and data entry. Operational Automation We automate internal workflows that usually consume hours of manual work. Examples: → PDFs, Excel files, emails, and forms processed automatically → Data cleaned, structured, and pushed into CRM / ERP / Google Sheets → Missing data, delays, or incorrect entries detected in real time → Alerts and tasks triggered automatically → Humans involved only for approvals, exceptions, and critical decisions Data → Decisions We build AI systems that execute and make desicions. They trigger action. → Forecasting → Automated reporting → Business intelligence with execution layer → Decision support systems → AI dashboards connected to workflows Custom AI Products For founders, startups, and growing businesses, we build complete AI products from scratch. This includes: → Multi-agent architectures system → Multi- model RAG pipelines (scalable) → Enterprise-grade SaaS platforms → Multi-tenant backend systems → AI workflow automation → Role-based dashboards → Voice AI and communication systems → Scalable APIs and infrastructure We Are a Fit If ✔ Your business is doing minimum $1million in ARR ✔ You already have operations running — 20 people team, leads, data, customers, or workflows ✔ You want to implement AI into real business processes ✔ You need scalable, production-grade systems ✔ You care about outcomes, speed, and execution Not a Fit If ✖ You are exploring AI just to try it ✖ Price matters more than business outcome ✖ There is no clear use case or objective ✖ You are not ready to execute fast Why Founders Work With Us → We think like partners, not developers → We focus on outcomes first, AI second → We build systems that integrate into your business, not sit outside it → We understand product, architecture, AI, and business ROI together → We have experience building systems used by millions of real users If you are looking to increase revenue, reduce manual work, or scale operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

I'm Mostafa, an AI engineer and data analyst with a passion for leveraging technology to solve real-world problems. Here's a bit about what I bring to the table: Strengths and Skills: Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn. Experienced in developing AI models for language translation and speech recognition. Strong analytical and problem-solving abilities. Skilled in data preprocessing, feature engineering, and model evaluation. Highlighted Projects and Accomplishments: Real-time Speech Feedback App: Developed an app using Facebook's XSLR Model for real-time feedback and interactive speech games for children with speech difficulties, achieving high accuracy in Arabic language Automatic Speech Recognition. OCR Tool for Egyptian IDs: Created an OCR tool to extract data from Egyptian IDs, demonstrating my ability to handle complex language data tasks. AI Integration for Chatbots: Built and deployed AI models for chatbots, improving customer interactions and automating responses. With my technical expertise and a friendly, problem-solving approach, I'm here to help you tackle your AI and data challenges.

𝐁𝐚𝐜𝐤𝐞𝐝 𝐛𝐲 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐈 𝐡𝐚𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 𝟐𝟓+ 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐬𝐜𝐚𝐥𝐞, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭𝐥𝐲 𝐚𝐜𝐡𝐢𝐞𝐯𝐢𝐧𝐠 𝐨𝐯𝐞𝐫 𝟗𝟎% 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐚𝐧𝐝 𝐫𝐞𝐝𝐮𝐜𝐢𝐧𝐠 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐨𝐬𝐭𝐬 𝐛𝐲 𝐮𝐩 𝐭𝐨 𝟒𝟎% 𝐚𝐜𝐫𝐨𝐬𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬. My expertise includes predictive modeling, deep learning, NLP, computer vision, and full-cycle MLOps. I also specialize in advanced AI domains such as Generative AI, LLMs, RAG architectures, AI agents, prompt engineering, vector databases, and cloud-native AI deployments, driving scalable, high-impact business results. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐂𝐥𝐢𝐞𝐧𝐭 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬: - Built an LLM-powered healthcare assistant achieving 94% diagnostic accuracy while reducing physician workload by almost 50%. - Developed a RAG-based financial analysis system processing 100K+ documents daily with 96% precision. - Created an educational NLP platform, improving student engagement by 65% through personalized content delivery. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐋𝐋𝐌 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Fine-tuning and optimizing GPT-4, LLaMA2, T5, and Mistral models with advanced prompt engineering for high-precision outputs. 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Designing Retrieval-Augmented Generation pipelines using LangChain, FAISS, and Pinecone for intelligent, context-aware document retrieval and analysis. 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬: Developing goal-driven, memory-enabled agents with structured decision-making and adaptive reasoning capabilities. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Implementing scalable solutions on AWS, FastAPI, and SageMaker with robust MLOps pipelines, ensuring high availability and 99.9% uptime. 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈: 𝐈 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐳𝐞 𝐀𝐈 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐢𝐧𝐭𝐨 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐫𝐞𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬: • 𝐓𝐫𝐚𝐯𝐞𝐥: Scalable booking systems with resilient pricing logic • 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: AI-powered diagnostic assistance tools • 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: Intelligent document processing and workflow automation • 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Adaptive learning platforms driven by data • 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞: Conversion-focused recommendation engines • 𝐋𝐞𝐠𝐚𝐥: Automated contract analysis and insights

If the problem involves AI touching real decisions—and getting it right matters—I’m usually a good fit. I routinely deliver what would take most teams a week in a single day. As one former Upwork client put it: “Got a week’s worth of work done in less than an hour due to Jonathan’s expertise. Would work with him again, no question.” That speed comes from deep domain expertise and fluency with modern AI tooling, which I use as a force multiplier—not a shortcut. I move quickly because I know exactly what to build, what not to build, and how to avoid rework through systematic testing. Most of my work sits in environments where systems influence money, risk, or operations, and where errors are expensive. The goal is not experimentation or novelty. It is building systems that work the first time, explain their decisions, and remain reliable under scrutiny. I led the design and implementation of an AI-driven small-business credit platform for a publicly traded lender (~$40M+ annual revenue). The system automated the majority of application decisions by combining structured financial data, document understanding, and retrieval-augmented analysis with tool-enabled research. Within a controlled environment, the system could query internal data, perform constrained external searches, and assemble a 30-point underwriting profile aligned with senior credit-analyst reasoning. Crucially, the system enforced confidence thresholds and escalation logic. Only the most complex 10–15% of applications were routed to expert underwriters, allowing human effort to concentrate where judgment actually added value. Manual review fell sharply without increasing risk. Security was treated as a first-order constraint. All PII was isolated within private network boundaries, with encrypted storage and tightly scoped access. Even large-language-model interactions—including external research—were routed through secured infrastructure so sensitive data never left controlled environments. Most engagements begin with a short diagnostic phase. I’m direct about whether I’m needed at all—and when I’m not, I say so. Clients often use a less expensive developer for execution once the critical architectural and risk decisions are made. That discipline is part of the job. Selected Systems I’ve Built At Finally, a $100M Series-B payroll company, I designed and shipped a production payroll platform in roughly six weeks, making early architectural decisions that prevented later rewrites and operational debt. In academic publishing, I helped build and stabilize Refine.ink, an AI-driven peer-review platform used by faculty at leading U.S. universities, where rigor, explainability, and predictable behavior were non-negotiable. As Refine.ink’s co-founder put it: “Jonathan combines deep technical ability with unusually strong judgment. He consistently identified the right problems to solve and built systems we could trust in production.” — Ben Golub, Co-Founder, Refine.ink; former Professor of Economics and Computer Science at Harvard; current Professor of Economics at Northwestern University I’ve also built agentic and multimodal systems that execute real workflows: voice-driven legal intake systems that conduct structured interviews and route qualified matters directly into case management; and computer-vision pipelines where I fine-tuned custom object-detection models to classify industrial weld defects—often only a few pixels wide—achieving ~95% accuracy with a lightweight human-review loop. I’m typically brought in when teams need rapid progress without mistakes—when systems have to move fast and still hold up in production. I work quickly because I’m an expert at what I do and deeply fluent in AI tooling, which allows me to compress timelines without cutting corners.

I build credit scoring and loan default prediction models that help lenders approve more good borrowers, cut losses, and make underwriting decisions they can stand behind. I work in Python, and I focus on models that go into production not prototypes that get shelved. Before Upwork, I spent three years as an in-house Data Scientist at Ameriabank, one of Armenia's largest banks, building forecasting and risk models used in live operations. That experience shapes how I work: I care as much about how a model holds up over time and under review as I do about its accuracy on day one. I usually work with: — Fintech and alternative/SME lenders building or improving credit decisioning — Banks and credit unions that need scorecards built, rebuilt, or validated — Risk and analytics teams that need an extra pair of expert hands What I typically deliver: — Credit scoring and application/behavioral scorecards — Loan default prediction and PD models — PD / LGD / EAD modeling and IFRS 9 ECL work [ADD REAL PROJECT DETAIL] — Model validation, monitoring, and clear documentation — Risk segmentation and lending portfolio analytics — Fraud detection models for lending — Risk dashboards and SQL/Python pipelines that replace fragile Excel reporting Tools I rely on: Python (pandas, scikit-learn, statsmodels), XGBoost, LightGBM, logistic regression, and SQL, with FastAPI and Docker when something needs to be deployed. A few honest signals: Top Rated Plus, 100% Job Success, and $40K+ earned on Upwork. On a recent credit scoring project the client's feedback was simply "Highly recommended," and another noted my "amazing knowledge in ML and DS." [ADD REAL METRIC e.g. Gini/AUC, default-rate reduction, or approval-rate lift] How I work is straightforward: a short scoping call, then a clear plan with an honest estimate, then iterative delivery with documentation your team and any reviewer can actually follow. If something isn't the right fit for me, I'll tell you. Send a short message with your problem, your data, and your timeline. I usually reply within a few hours. The first 15-minute scoping call is free.

Expert-Vetted Top 1% Computer Vision Engineer with 11+ years deploying production-grade Computer Vision, Medical Imaging & Healthcare AI, Multimodal RAG, Edge AI, and MLOps systems — trusted by Fortune 500 and global enterprises, including P&G, Edwards Lifesciences, Canva, and Shotdeck. Featured talent at Upwork Executive Summit. Fully async with EU and US morning overlap (ET). The common thread across 80+ production deployments is a single architectural principle: isolate the binding constraint before any model decision — HIPAA compliance in clinical pipelines, sub-second retrieval across 3M+ cinematic assets, compute efficiency at 2M+ API calls/year, real-time inference on resource-constrained edge hardware. I own the full stack from data strategy through deployment: design, training, optimization, and production maintenance. My hands-on execution spans five specialized, production-proven domains: ◆ COMPUTER VISION (11 years in production) Built Shelfr's complete retail shelf-intelligence platform from zero — SKU detection, planogram compliance, OOS recognition, share-of-shelf — scaling to 200+ global FMCG brands including P&G. Awarded the 2025 P&G External Business Partner Excellence Award. Built face anti-spoofing and biometric verification systems at FOO Technologies — 90%+ accuracy against video replay, printed face, and mask attacks; document tampering detection at 91%. Deep specialization: YOLO v5–v11 · YOLO-World · Grounding DINO · SAM / SAM 2 · Vision Transformer (ViT · Swin) · ByteTrack · OpenCV · instance & semantic segmentation · object detection & tracking · face recognition & anti-spoofing · pose estimation · few-shot & zero-shot learning · anomaly detection. ◆ HEALTHCARE AI & MEDICAL IMAGING (HIPAA · DICOM · FHIR · Clinical NLP) Delivered production clinical AI for Edwards Lifesciences — HIPAA-compliant DICOM de-identification via custom U-Net, echocardiogram analysis, beat-to-beat LVEF assessment, and Attention-Based MIL for weakly labeled studies. Production medical NLP achieving 85%+ PHI detection accuracy across clinical notes, FHIR documents, and lab tables — context-aware obfuscation preserving clinical utility while eliminating re-identification risk. Late-interaction retrieval (ColPali/ColBERT) for radiology and pathology records in regulated environments. Deep specialization: MONAI · DICOM · FHIR · nnU-Net · MedSAM · PHI de-identification · BioBERT · ClinicalBERT · medical image segmentation · biomedical NLP · EHR integration · HIPAA/GDPR compliance. ◆ MULTIMODAL AI & CROSS-MODAL RETRIEVAL Architected Shotdeck's production retrieval system across the world's largest cinematic library — 3M+ assets — delivering sub-second natural-language queries via hybrid pgvector retrieval with HNSW indexing on 100+ parallel GPUs. Built any-modality search supporting dialogue, reference images, ambient audio, and video clip inputs — with 76 structured cinematographic tags across 15 categories. Deep specialization: CLIP · DINOv2 · LLaVA · Qwen VLMs · Florence-2 · ImageBind · ColPali · ColBERT · Whisper · multi-vector retrieval · late-interaction token-level matching · image-text-audio-video embeddings. ◆ GENERATIVE AI · RAG & AGENTIC SYSTEMS Built the full generative AI stack at Synthesys AI Studio — talking avatars, AI lipsync, voice cloning, text-to-image — scaled to 2M+ API calls/year; reduced compute costs from $100K+/year to a fraction via serverless architecture (Modal, Replicate). AI Humans product integrated into Canva. Production RAG and agentic systems at Biscuit AI: hybrid search, multi-vector reranking, HyDE, LangGraph state machines, CrewAI and AutoGen multi-agent orchestration, long-term memory (semantic, episodic, procedural), LangSmith evaluation and hallucination monitoring. Deep specialization: GPT-4o · Anthropic Claude · Llama 3 · Mistral · Gemini · DeepSeek · LangChain · LangGraph · LangSmith · CrewAI · AutoGen · MCP · function calling & tool use · RAG · agentic RAG · LoRA/QLoRA fine-tuning. ◆ EDGE AI & EMBEDDED DEPLOYMENT Deployed real-time inference across forklift safety and construction monitoring (Canaryaware), ATM anti-skimming, and multi-animal behavioral tracking — QAT-optimized architectures maintaining low-latency detection under industrial conditions (low light, occlusion, motion blur) within edge-cloud hybrid systems with centralized continuous learning. Deep specialization: NVIDIA Jetson (Nano · TX1 · TX2 · Xavier · Orin) · Google Coral TPU · Raspberry Pi · Intel NPU / OpenVINO · TensorRT · ONNX Runtime · LiteRT · INT8/QAT quantization · model pruning · TinyML. Building a medical imaging platform, multimodal retrieval product, production RAG system, or edge deployment? Message me with your use case or the bottleneck you're hitting — I respond within 24 hours and can typically set a discovery call within 48 to map your fastest path to production.

Are you sitting on PDFs, unstructured data, or an AI product that needs to actually work in production? Then, OCR pipelines, RAG systems and AI agent apps are what I build to make that happen 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱: 𝗔𝗜 𝗔𝗽𝗽𝘀, 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - I build custom internal tools, SaaS MVPs, and LLM copilots that plug directly into your data, APIs, and business logic, so your team stops doing manually what AI can handle reliably. 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 - if your team is still Ctrl+F-ing through PDFs and wikis to find answers, there's a better way. I build semantic search and retrieval pipelines over your medical records, legal documents, internal knowledge bases, and business data 𝗢𝗖𝗥 / 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 - I build document parsing and PDF extraction pipelines for construction drawings, invoices, tax forms, and legal documents with clean JSON outputs 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹 𝗨𝘀𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 - I build autonomous agents with function calling, MCP tool integrations, and SQL access that execute multiple step workflows to query databases, hit APIs, and make decisions 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗜𝗺𝗮𝗴𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 - not every AI problem tends to start with text. I build YOLO based object detection, object tracking, and image recognition pipelines for use cases like visual product search, sports tracking/analytics, and automated inventory, where the input is a camera feed or an image 𝗜𝗳 𝗬𝗼𝘂'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗳𝗼𝗿 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻, 𝗧𝗵𝗶𝘀 𝗣𝗮𝗿𝘁'𝘀 𝗙𝗼𝗿 𝗬𝗼𝘂: When you are an estimator pulling quantities for a bid, you need numbers that can be traced back to a specific sheet, defended in a scope meeting, and trusted before anything gets priced. I've built pipelines specifically for that by turning raw plan sets and jobsite media into structured data your team can actually work with 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘁𝗵𝗮𝘁 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 𝗶𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲: • AI material/quantity takeoff workflows that ingest PDF plan sets, process the drawings, and organize sheets automatically • Project and sheet level AI assistants that answer questions with source citations, so every answer points back to where it came from. • Coordinate-aware OCR pipelines that extract rooms, dimensions, columns, footings, slabs, and structural elements directly from construction drawings. • YOLO models for room segmentation and drawing detection, where standard OCR falls short. • Automated SOW generation that takes jobsite audio, 360° video, and timestamped visual evidence to turn it into a structured scope document. • Knowledge graph pipelines that link extracted text to sheets, map quantities to CSI trade codes, and export JSON and CSV. • Workflow platforms with project management, job site tracking, role based access, alerts, and operational dashboards 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗼𝗼𝗱 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂 𝗡𝗲𝗲𝗱: • A custom AI app or SaaS MVP built to handle real world edge cases. • A reliable RAG pipeline that actually finds the right answers in your PDFs and databases. • Data extraction pipelines that turn unstructured files into clean and usable JSON. • Tool using AI agents that connect to your APIs, query databases, and execute business logic. • Document automation for industries like construction, legal, healthcare, or finance. See something that fits your project? Send me a message and let's get into it 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: • 𝗟𝗟𝗠𝘀: OpenAI, GPT-4o, Claude, Gemini, Llama • 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangChain, LangGraph, LlamaIndex, MCP/tool integrations • 𝗥𝗔𝗚 / 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀: Pinecone, Qdrant, Weaviate, Chroma, FAISS, Typesense • 𝗢𝗖𝗥 / 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Tesseract, PaddleOCR, PyMuPDF, pdfplumber, Unstructured, LayoutParser • 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: YOLO, OpenCV, Pose Estimation, Object Detection • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python, FastAPI, Flask, Streamlit, Node.js, REST APIs, webhooks, async pipelines • 𝗔𝗜 𝗢𝗽𝘀: prompt tracing, token/cost control, structured outputs, fallback logic, evaluation, monitoring • 𝗖𝗹𝗼𝘂𝗱 / 𝗜𝗻𝗳𝗿𝗮: AWS, Docker, serverless functions, queues, background jobs, deployment pipelines

💎 Top Rated Plus | 🚀 100% Job Success Score 💪 12+ Years of Experience| 🎯 550+ Successful Projects | 💼 Upwork Skill Certified "My deliverable is not the product/service but your satisfaction with it" Bringing cutting-edge AI and algorithmic trading strategies to life, I am your go-to expert for innovative tech solutions. From GPT-4 and ChatGPT applications to advanced quantitative analysis including Algorithmic Trading and Data Science, reach out to me for unparalleled project advice. With a knack for developing sophisticated algorithms and creating fully automated apps, I specialize in transforming complex problems into elegant, efficient system. My expertise includes: - Creation of robust Algorithmic Trading Systems with seamless broker (Interactive Brokers, Zerodha, MT5, Alpaca and any other) integration - Mastery in AI chatbot development with GPT-4, ChatGPT, and other large language models - Comprehensive model development for Machine Learning and Deep Learning - Streamlined order execution via Telegram and advanced QuantConnect algorithms - In-depth experience with financial modeling and quantitative derivatives valuation