I build production AI and SaaS systems using Python, FastAPI, Next.js, React, PostgreSQL, Supabase, and modern LLM stacks. My work is typically for founders and teams who already have a real business problem to solve: an AI feature that needs to work reliably, an MVP that needs to become production-ready, a backend that needs cleaner architecture, or a workflow that should be automated instead of handled manually. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤 𝐢𝐧𝐜𝐥𝐮𝐝𝐞𝐬: 𝐀𝐈 & 𝐋𝐋𝐌 𝐒𝐘𝐒𝐓𝐄𝐌𝐒 RAG pipelines, Claude/OpenAI integrations, AI agents, intelligent document processing, structured extraction, vector search, LangChain/LangGraph workflows, and AI features connected to real application logic. 𝐒𝐀𝐀𝐒 & 𝐁𝐀𝐂𝐊𝐄𝐍𝐃 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑𝐈𝐍𝐆 Multi-user SaaS platforms, authentication, RBAC, subscription billing, Stripe integrations, REST APIs, dashboards, admin systems, PostgreSQL/Supabase data models, and production deployment using FastAPI, Node.js, Next.js, and React. 𝐌𝐀𝐂𝐇𝐈𝐍𝐄 𝐋𝐄𝐀𝐑𝐍𝐈𝐍𝐆 & 𝐃𝐀𝐓𝐀 Python-based ML pipelines using PyTorch, TensorFlow, Keras, scikit-learn, pandas, and NumPy, including forecasting, computer vision, predictive modeling, data processing, and evaluation workflows. 𝐓𝐑𝐀𝐃𝐈𝐍𝐆 𝐒𝐘𝐒𝐓𝐄𝐌𝐒 TradingView/Pine Script tools, MT4/MT5 Expert Advisors, Python trading pipelines, webhook execution systems, signal validation, risk logic, backtesting, and configurable strategy automation. 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐈𝐎𝐍 & 𝐈𝐍𝐅𝐑𝐀𝐒𝐓𝐑𝐔𝐂𝐓𝐔𝐑𝐄 Docker, Linux, GitHub Actions, CI/CD, AWS/GCP, monitoring, API integrations, database optimization, debugging, and deployment workflows. I do not start by blindly coding requirements. I first understand the business objective, existing architecture, constraints, failure points, and definition of success. Then I propose the simplest technical path that can be maintained after delivery. If you have an existing product, incomplete MVP, AI feature, automation workflow, or backend problem, send me the current state and the outcome you need. I will tell you clearly what should be fixed, built, or avoided.

Senior Machine Learning engineer with over 10 years of extensive experience in Speech, Image, Text and Video processing applications. 💥Post-doc in Speech and Language processing focusing Automatic Speech Recognition. 💥PhD in Multimodal (audio-visual) speaker diarization including facial recognition, speaker identification, audio-visual synchronization. Experience in: 🔸Voice agents (LiveKit, VAPI, n8n) 🔸Text-to-speech models (StyleTTS2, OrpheusTTS, etc.) 🔸Chatbots (LangChain, LangGraph, CrewAI etc.) 🔸Automatic Speech Recognition (wav2vec2, Whisper etc.) 🔸Audio quality estimation (PESQ, STOI etc.) 🔸Facial recognition 🔸Speech Activity Detection (SAD) 🔸Audio-Visual Speaker Diarization 🔸Multiview panoramic imaging 🔸Image denoising and many more... Frameworks/ Tools/ Platform: 🔸PyTroch, Tensorflow 🔸Web GUI (Gradio, Dash/Plotly, Streamlit) 🔸Grid computing (Slurm, SGE) 🔸Multi-GPU training. 🔸Linux, Shell scripting 🔸AWS, Runpod 🔸SQL and BigQuery I always look to build a long term relationship with my clients. Looking forward to hearing from you. Thank you.

⭐ Fractional CTO, AI Engineer & Technical Advisor helping SaaS startups build, ship and grow AI-powered products from MVP to enterprise. 🚀 Harvard-certified AI Developer & Python Developer | 10+ years Full Stack Development | Senior React, Python & Node.js Software Engineer 🏆 $1M+ saved via AI workflows | 40+ projects: FinTech, Healthcare, EdTech, LegalTech & SaaS 🎯 WHO I AM & HOW I HELP I'm a Fractional CTO & AI Solution Architect helping SaaS founders and non-technical CEOs turn vision into production-ready software. My work spans AI architecture, machine learning consultant work, Gen AI development & AI consulting projects - without a full-time CTO cost As a Fractional CTO, I solve problems like: → We need a SaaS product but have no technical co-founder → We want to integrate LLMs, RAG, or AI automation but don't know where to start → Our architecture won't scale and dev is too slow → We need to modernize our stack and migrate to AWS or Azure → We need AI agent automation (n8n, custom pipelines), but no one can build it in-house 🏅 MY EXPERTISE Case 1 - Fractional CTO & AI Developer for LegalTech SaaS Built a multi-tenant platform as SAAS AI developer: NestJS, Next.js, React, TypeScript, PostgreSQL, Azure, Terraform. AI Augmentation Layer: document extraction (Azure Document Intelligence), RAG research, AI-assisted drafting; Solution Architect, project manager. Case 2 - Fractional CTO & AI Engineer for a Healthcare Monitoring AI Platform Compliant SaaS developer: Python, FastAPI, PostgreSQL, WebSocket alerts, React. HIPAA/GDPR, Docker CI/CD. ML pipelines, computer vision models; data scientist, data analyst, AI Consultant, Virtual CTO Case 3 - Full Stack AI Developer for an EdTech LMS LMS build: React, TypeScript, Supabase, AWS (Cognito, Lambda). NLP personalization, GPT-3-powered recommendations, Moodle chatbot plugin. Case 4 - AI Engineer / AI Developer for a FinTech AI Startup Engineering: NestJS, Java, Azure SQL, Service Bus, blockchain-based payments, React frontend, AI content personalization, gamification; Solution Architect, AI engineer, Project Management Case 5 - AI Architect & AI Engineer: RAG, NLP & Speech Systems RAG platforms (Pinecone, OpenAI), speech intelligence (Deepgram, LangChain, FAISS), CRM automation (Anthropic/Claude). AI Agent Development and AI agent n8n automation, working as AI agent builder & AI agent creator. Agentic AI patterns, AI Model Integration, AI automation Case 6 - Full Stack AI Engineer & AI Developer for CRM & Auth Platform Microservices: gRPC, MongoDB, Neo4j. Multi-tenant auth (Azure AD); full stack developer, Cloud Architect advisor, AI Software Architect, AI Developer, data analysis pipelines. ⚡ WHERE I CAN BE HELPFUL ✅ Fractional CTO - strategy, leadership, team building for SaaS startups, virtual CTO services ✅ Technical Advisor - code audits, architecture reviews, cloud migration (AWS/Azure), Cloud Architect guidance ✅ Full Stack Development - React, Next.js, Node.js, Python, TypeScript, JavaScript, React Native, React for mobile & Web development ✅ AI engineering & LLM Integration - RAG, LLM agents, NLP, Computer Vision, ML, chatbots, Generative AI Agent Development ✅ AI Architect & SaaS Architecture - multi-tenant, API-first, compliance, scaling, Software Architecture & Design ✅ Data & Analytics - SQL, pipelines, data visualization, ML analytics, data science, data analysis ✅ DevOps - AWS, Azure, Terraform, Docker, ArgoCD, CI/CD, Firebase support ✅ Mobile App Development - React Native, Android App Development, cross-platform SAAS mobile features 👨🏻‍💻 TOOLS & TECHNOLOGIES Frontend: React, Next.js, Angular, Vue.js, HTML, CSS, JavaScript, TypeScript, Tailwind, MUI, React Native Backend: Node.js, NestJS, Express, Python, Java, FastAPI, Django, Flask, GraphQL AI/ML: GPT, GPT-3, Claude, RAG, LangChain, Pinecone, FAISS, NLP, Deepgram, PyTorch, TensorFlow, ML, Deep learning Cloud: AWS (Cognito, Lambda, EKS, S3), Azure (AI Foundry, Document Intelligence, APIM) DB: PostgreSQL, MongoDB, SQL, Neo4j, Pinecone, Qdrant DevOps: Docker, Terraform, Pulumi, ArgoCD APIs: OpenAI, Anthropic, Stripe, Pipedrive, MS Graph, REST, GraphQL, gRPC 🔄 HOW WE WORK TOGETHER Discovery Call - We discuss goals, challenges and product vision Technical Audit & Roadmap - I audit your stack and deliver a clear plan (Product Development, Solution Architecture, AI Development) Build & Ship - Weekly milestones, production-quality code (AI Agents, AI Automation, agentic AI workflows) Scale & Optimize - Performance tuning, AI automation, cost reduction, growth prep 🟢 MY CORE FOCUS AREAS SaaS product development (multi-tenant, API-first, AI-native) Healthcare & MedTech (compliance, real-time monitoring, HIPAA/GDPR) LegalTech (document intelligence, workflow AI automation, AI research) EdTech & LMS platforms (ML, personalized learning, analytics) API integration & platform scaling (CRM, ERP, real-time sync) AI-powered automations & AI automations (LLMs, RAG, NLP)

Give me your wildest AI idea, I’ll turn it into a product that ships. Hi there! I’m a Senior Machine Learning Engineer with 8+ years of experience architecting end to end AI solutions from NVIDIA Jetson edge deployments to LLM powered chatbots and autonomous agents. Core Expertise & Tech Stack: - Computer Vision & Image Processing: CNNs, Vision Transformers, real‑time object detection - Deep Learning Architectures: Custom CNN/RNN/Transformer pipelines in PyTorch & TensorFlow - NLP & LLMs: GPT‑series fine‑tuning, RAG pipelines, custom tokenizers - Chatbot & AI Agent Development: Multi‑turn dialog systems, vector‑indexed memory, API integrations - Edge AI Deployments: Jetson Nano, Xavier & Orin containerised inference with TensorRT & Docker - Web Scraping & Python Automation: BeautifulSoup, Selenium, API orchestration, ETL pipelines How We Can Work Together: Whether you need to prototype a custom vision model, build a high performance LLM agent, deploy AI on edge devices, or automate large scale data harvesting, I’m ready to jump in. I’m available for both short sprints and ongoing collaborations, and I typically respond to messages within two hours. Let’s connect, send me a note outlining your project goals, and I’ll share a quick plan to get you from concept to production. Looking forward to turning your AI vision into a market‑ready product.

I help aviation, healthcare, and industrial clients turn raw data into reliable AI solutions — from defect detection and medical image analysis to anomaly detection in safety-critical systems. With a Master’s in Software Engineering and publications in IEEE Access and PeerJ, I bring a strong combination of research depth and hands-on AI/ML development experience. My work includes computer vision, medical imaging, aviation cyber-physical systems, and real-world ML applications using models such as YOLOv8, EfficientNet, and CNN-based architectures. IEEE Access & PeerJ published AI/ML researcher — one of the few freelancers on Upwork with peer-reviewed publications in computer vision and anomaly detection." Selected work: Anomaly Detection in Aviation Systems — Developed ML models for early-stage fault detection in CPS data, published in IEEE Access. Surgical Instrument Defect Detection — Built a real-time YOLOv8-based defect detection system, accepted at PeerJ. Medical Imaging Solutions — Fine-tuned EfficientNet models for small medical datasets, achieving 95% accuracy. Skills & Tools Python, PyTorch, TensorFlow, Scikit-Learn, OpenCV, FastAPI Computer Vision, Deep Learning, Anomaly Detection, Object Detection, Model Deployment Aviation CPS Data, Medical Imaging, Industrial Sensor Data

🚀 AI & ML Engineer | LLM & RAG Specialist 🚀 Hey there! I’m Harsh, an AI & Machine Learning Engineer with over 4 years of experience building intelligent solutions that make an impact with 7+ years of experience in IT Industry. I specialize in machine learning, deep learning, computer vision, natural language processing (NLP), and large language models (LLMs). If it involves AI, I’m all in! Whether it's building chatbots, creating recommendation systems, automating tasks with AI agents, or developing search engines and RAG-based systems, I enjoy transforming complex AI challenges into practical solutions. 🔹 What I Bring to the Table: ✅ AI That Works – I build models that aren’t just cool, but solve problems. ✅ LLMs & RAG Systems – Expertise in LangChain, LlamaIndex, and vector databases to power next-gen AI applications. ✅ Computer Vision & NLP – Face detection, text analysis, and everything in between. ✅ Search Engines – Implementing intelligent search and ranking algorithms. ✅ AI Agents & Automation – Let AI do the heavy lifting for you. ✅ N8N Automation. 🔹 Why Work With Me? ✔ Results-Driven – I focus on delivering AI solutions that bring value to your business. ✔ Clear Communication – No tech jargon overload—I keep things simple and transparent. ✔ End-to-End AI Development – From idea to deployment, I handle everything. I’m always excited to tackle new AI challenges and help businesses leverage AI to its full potential. If you have a project in mind, let’s chat and make it happen! 🚀 📌 GitHub: github.com/harshm-007 📩 Let’s connect—drop me a message!

A proficient data scientist and machine learning expert specializing in AI development and data engineering solutions. Led projects including an AI chatbot for intelligent data insights [1] and advanced NLP model for topic recognition [2], enhancing business decision-making through data-driven strategies. Expertise in Python, NLP, and deep learning frameworks like TensorFlow and PyTorch, applied to build scalable data infrastructures and innovative AI solutions. Delivers significant improvements in predictive modeling and real-time data processing across various sectors

💵$𝟏𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝 | 🎖️𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 | 🛡️ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 As a 𝐋𝐞𝐚𝐝 𝐀𝐈/𝐍𝐋𝐏 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟕+ 𝐲𝐞𝐚𝐫𝐬 of hands-on expertise, I work across NLP, AI Agent Development, Neural Networks, Predictive Modeling, and Python while delivering 𝐇𝐈𝐏𝐀𝐀 𝐚𝐧𝐝 𝐆𝐃𝐏𝐑-𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 systems across healthcare, fintech, real-estate, and retail. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐈'𝐯𝐞 𝐛𝐮𝐢𝐥𝐭: -- 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈: I have built a Rasa Core system where dataset balancing and custom vectorization pushed 𝐢𝐧𝐭𝐞𝐧𝐭 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐟𝐫𝐨𝐦 𝟔𝟏% 𝐭𝐨 𝟖𝟑% on an imbalanced dataset, deployed on PyTorch, NGINX, and PostgreSQL. -- 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐋𝐋𝐌 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: I led the development of a healthcare AI calling agent that handles outbound insurance verification autonomously by extracting 𝟕𝟎+ 𝐝𝐚𝐭𝐚 𝐩𝐨𝐢𝐧𝐭𝐬 𝐩𝐞𝐫 𝐜𝐚𝐥𝐥, cutting admin workload by 𝟖𝟎% and verification time from 𝟐 𝐝𝐚𝐲𝐬 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫 𝟒 𝐡𝐨𝐮𝐫𝐬. -- 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: I have built real-time prediction dashboards and analytical pipelines that turn raw signals into operational decisions. My recent work covers time-series forecasting, classification at scale, and anomaly detection across noisy, real-world data sources. The typical engagements achieve 𝟖𝟓% 𝐭𝐨 𝟗𝟏% 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 on production data after rigorous validation, with reporting 𝐥𝐚𝐭𝐞𝐧𝐜𝐲 𝐜𝐮𝐭 𝐛𝐲 𝟓𝟎% 𝐭𝐨 𝟔𝟎% compared to legacy batch-processing setups through distributed computing and cloud-native architectures. -- 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: I have built production-grade systems in PyTorch, TensorFlow, and Scikit-learn while leveraging classification, sequence modeling, and NLU with full cross-validation before anything reaches production. I work well with clients who have hard problems, messy data, and need someone who can explain what the model is doing and why. 📩 Message me and I'll respond as soon as possible with a straight answer on whether I can help and what the approach looks like. Let's build something big together! 🚀

33+ Successful Projects • 100% Job Success Top Rated 🎯 Computer Vision — YOLOv8/11, Faster R-CNN, U-Net, DeepLabV3+ 📍 Multi-Object Tracking — SORT, DeepSORT, ByteTrack 💬 LLM Applications — RAG, LangChain, Hugging Face, LoRA/QLoRA ⚡ Real-Time AI Deployment — OpenCV, PyTorch, TensorFlow 📈 Scalable Search — FAISS, vector DBs for face & document retrieval 🤖 LLM-Powered Telegram Bots — intelligent assistants & automation Why Work With Me 🟢 25+ successful projects with 100% Job Success (Top Rated) 🟢 Up to 90% automation through AI & workflow optimization 🟢 Scalable, production-grade systems (millions of records, real-time pipelines) 🟢 True end-to-end delivery — strategy → data → model → deployment 🟢 On-time delivery with measurable business impact 🟢 Clear, reliable communication throughout the project 📩 Message me for a free consultation — I’ll help you outline the best technical approach for your project.

Top 1% Expert Vetted. Ten years of professional experience in Machine Learning and Data Science. Degrees in Physics and Math with honors. Lead Scientist for a profitable startup. I've built numerous Machine Learning systems with both Keras and Pytorch. I've trained hundreds of models in both NLP and Image recognition tasks in python. I can help make your Machine Learning project a success. I've created Deep Convolutional Neural Networks to identify objects in images and LSTMs to process text in legal documents. I've helped profitable businesses cut costs by up to 80% and helped new ones create the products they dream about. Let's make something great together!