I help businesses automate workflows, reduce manual work, and build practical AI systems that create real business impact. My focus is on AI automation, business process automation, AI agents, GoHighLevel (GHL) automation, and LLM-powered applications that integrate seamlessly into existing workflows. I work with companies looking to move beyond simple chatbots and build intelligent systems that can actually perform tasks whether that means automating operations, handling customer interactions, processing documents, qualifying leads, managing CRM pipelines, or connecting multiple business tools into one efficient workflow. My recent work includes building solutions using OpenAI, Claude, n8n, GoHighLevel (GHL), LangChain, LangGraph, vector databases, and custom integrations to create scalable automation systems. Some of the solutions I build include: - AI agents that can reason, make decisions, and execute tasks - Business workflow automation using n8n, GoHighLevel (GHL), and custom integrations - AI chatbots and conversational assistants - Voice AI systems for real-time interactions - RAG-based knowledge assistants using internal company data - GoHighLevel CRM automation, pipeline management, and lead nurturing - CRM and lead management automation - Email, SMS, and outreach automation - Document processing and intelligent data extraction - Multi-step AI workflows that connect APIs, databases, and business tools I have extensive experience working with OpenAI, Claude, ChatGPT, n8n, GoHighLevel (GHL), LangChain, LangGraph, Pinecone, Weaviate, ChromaDB, Python, FastAPI, PostgreSQL, Selenium, and enterprise integrations. Beyond automation, I also bring strong engineering experience in data processing, web scraping, predictive systems, and scalable backend architecture. What sets my work apart is practicality. I do not build AI demos, I build systems that businesses can actually use. Whether you need an AI agent, GoHighLevel automation, business automation workflow, OpenAI or Claude-powered assistant, RAG application, chatbot, voice AI solution, or a custom automation platform, I can help design and deliver a reliable production-ready solution. I value clear communication, long-term partnerships, and building solutions that genuinely save time and improve operations. Looking forward to working together.

AI Engineer | Computer Vision · Agentic AI · LLMs | Huawei · Walmart · AWS I've built production AI systems for Huawei, Walmart, Al Meera, and AWS, across computer vision, voice agents, LLMs, and MLOps. 7 years of real deployments, not demos. If you need it to work at scale, that's my lane. 🏆 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 Object detection (YOLO, FasterRCNN), segmentation (SAM, U-Net, Mask-RCNN), face recognition, pose estimation, OCR, depth estimation, 3D reconstruction, and medical imaging, end to end. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗟𝗟𝗠𝘀 RAG pipelines, multi-agent systems (CrewAI, LangGraph), fine-tuning and deploying GPT-4, Claude, LLaMA, Gemini. From chatbots to autonomous workflow agents. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 End-to-end voice agent systems using Livekit, ElevenLabs, Vapi, Hume, Rime, Azure OpenAI, full STT/TTS pipelines to production deployment. 𝗠𝗟𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 CI/CD for ML, model quantization (CPU/GPU/TPU), Docker, Kubernetes, MLflow, W&B. Deployed on AWS SageMaker, Azure ML, and GCP AI Platform. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 Stable Diffusion, DALL-E, SORA, Veo, Kling.ai, GANs, (StyleGAN, CycleGAN, Pix2Pix), Runway, and custom image generation pipelines. ⚙️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Models: GPT, Claude, LLaMA 3, Gemini, Mistral, DeepSeek Vision: YOLOv5–v11, SAM/SAMv2, MediaPipe, DeepFace, PaddleOCR Agents: LangGraph, CrewAI, LangChain Cloud: AWS, Azure, GCP MLOps: MLflow, W&B, Docker, Kubernetes Backend: FastAPI, Flask, PostgreSQL, MongoDB ✅ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗼𝗺𝗲 𝗕𝗮𝗰𝗸 I deliver on time, communicate clearly, and build systems that scale, not quick fixes. Before freelancing full-time, I served as Co-founder and AI Team Lead at a YC-backed startup, where I led end-to-end AI product development under real business pressure. That experience means I think like a founder, not just an engineer. I care about your outcome, not just the code. 100% Job Success · 2,200+ hours · 16 completed contracts Top Rated Plus (Top 1% AI talent) If you are looking for scalable, enterprise-grade AI execution across Computer Vision, Voice AI, and Agents—instead of basic demos—you are in the right place. Ready to build? Send me a message and let's get to work.

As a Top Rated Plus AI & Machine Learning Engineer (Top 3% on Upwork) with over 6 years of experience and a 100% Job Success Score, I deliver end-to-end enterprise AI implementations. My expertise spans heavy-compute machine learning, embedded IoT ecosystems, real-time voice intelligence, and autonomous agentic workflows. Having built intelligent applications, vision systems, and predictive pipelines for over 50 global clients across Fintech, Healthcare, Robotics, IoT, and SaaS, I prioritize structural risk mitigation, deterministic behavior, and clear data lineage to guarantee real corporate ROI. My practice focuses on engineering production-grade Retrieval-Augmented Generation (RAG) architectures and autonomous multi-agent networks governed by deterministic software frameworks. To ensure high factual precision and secure role-based access control, I replace naive chunking with advanced relational data indexing, multi-stage re-ranking, and custom self-RAG verification loops that systematically eliminate model hallucinations and minimize token overhead. When building multi-agent ecosystems to execute complex, multi-step business logic, I implement clean state transitions, persistent cross-session memory management, and secure tool invocation. This architectural discipline ensures that autonomous units handle real-world operational friction gracefully and self-correct without entering infinite execution loops. This commitment to low-latency orchestration and structural reliability extends directly to my real-time conversational Voice AI deployments. I build human-grade voice agents for inbound qualification and outbound telephony centered on conversational fluidity. By optimizing the complete text and speech streaming pipelines, I achieve response times under 600ms while establishing strict barge-in rules and turn-taking logic that accommodates natural human pauses. I anchor these Generative AI systems with deep foundational roots in traditional statistical machine learning, deep learning, and physical edge compute. Whether training custom neural networks or engineering real-time computer vision architectures for digital and edge devices - including past infrastructure deployments for rapid-growth tech startups - my code enforces mathematical and computational efficiency. I ensure hardware streams, embedded sensors, and unstructured data lakes feed cleanly into automated ETL pipelines, yielding actionable analytics and enterprise business intelligence dashboards. ============================================================================= TECH STACK & KEYWORD MATRIX: [ Agentic & RAG Orchestration ]: LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, Custom FSM Runtimes, Multi-Agent Architecture, Self-Correction Loops, Model Context Protocol (MCP) [ Enterprise Voice AI & Telephony ]: Vapi, Retell AI, ElevenLabs, Cartesia, Deepgram, AssemblyAI, Twilio API, SIP Trunks, WebRTC Audio Streaming, Turn-Taking Logic, Conversational Voice Agents [ LLMs, SLMs & NLP Ecosystem ]: GPT-4o, Claude 3.5 Sonnet, LLaMA 3, DeepSeek, Mistral, OpenAI API, Hugging Face, Natural Language Processing (NLP), Advanced Prompt Engineering, Model Routing Layers, Small Language Models (SLMs) [ Machine Learning & Computer Vision ]: TensorFlow, Keras, PyTorch, Scikit-Learn, OpenCV, Deep Learning, Image Processing, Spatial Intelligence, Object Detection, Semantic Segmentation, Data Science [ Edge Computing & Hardware Integration ]: Embedded Systems, Robotics, Embedded IoT, Real-Time Sensing, Physical Computing Architecture [ Cloud Infrastructure, MLOps & Data Engineering ]: AWS (Lambda, SageMaker, EC2, S3), Serverless Architectures, Microservices, N8N, Make, Automated API Integrations, SQL, Vector Databases (Qdrant, Pinecone, Milvus, pgvector), Neo4j Graph Databases, Advanced Data Analytics, BI Dashboards, Business Intelligence ============================================================================= FULL-STACK INTEGRATION & APPLICATION LAYER: I provide end-to-end full-stack integration to ensure intelligence is delivered seamlessly. I build robust Python and Node backends, design secure RESTful or GraphQL APIs, manage stateful data synchronization, and construct clean, responsive user interfaces. I handle the entire software lifecycle so your AI systems run flawlessly within your existing application ecosystem. PROJECT LIFECYCLE ROLES I'M AVAILABLE FOR: - Principal AI Agent Architect & GenAI Consultant - Senior Machine Learning & Computer Vision Specialist - Full-Stack AI Engineer & Workflow Automation Expert - Embedded IoT / Robotics ML Integration Lead Daily Availability: 8-12 Hours/Day (Depending on project scope and enterprise requirements) If you have an active project requiring battle-tested machine learning, robust multi-agent automation, and a reliable technical execution partner, let's connect and discuss how to turn your concepts into a production-ready reality.

I am Avijit Dey, a skilled Computer Vision Engineer with a robust foundation in Machine Learning, Deep Learning, and Image Processing. I hold an MS degree in Mathematical and Computational Science from the Indian Association for the Cultivation of Science, acquired through the SMCS department. Presently, I contribute my expertise at the IIT Jammu Underwater Vision Lab, where I specialize in crafting AI-driven solutions for a spectrum of applications, including object detection, image segmentation, facial recognition, video analysis, and advanced image processing techniques. My career is bolstered by hands-on research endeavors at ISI Kolkata, where I engaged in developing state-of-the-art AI models and optimization methodologies. I have a deep proficiency in Python, PyTorch, TensorFlow, OpenCV, and image enhancement methods, enabling me to construct efficient deep learning pipelines and deploy real-time vision applications effectively. With an unwavering passion for addressing intricate problems through AI, I am dedicated to delivering high-performance solutions that extend the boundaries of computer vision and image processing. I invite you to collaborate with me to transform ideas into groundbreaking reality!

I help businesses automate operations, reduce manual work, and build intelligent AI-powered products that scale efficiently. With 5 years of experience in AI engineering and full-stack Python development, I specialize in building AI agents, automation systems, conversational AI, and scalable backend architectures using modern AI frameworks and cloud technologies. I develop end-to-end AI solutions powered by GPT-4, LangChain, LangGraph, AutoGen, RAG pipelines, vector databases, and workflow automation tools like n8n and Make. From AI chatbots and voice agents to enterprise workflow automation and custom AI SaaS products, I help companies turn ideas into production-ready systems. What I Specialize In: 1. AI Agents & Generative AI - Custom AI agents using GPT-4, Claude, Gemini, LLaMA, and Mistral - Autonomous workflows with LangChain, LangGraph, and AutoGen - AI copilots, research agents, and task automation systems - Conversational AI and context-aware assistants 2. RAG & Vector Databases - Retrieval-Augmented Generation (RAG) pipelines - Document Q&A systems and knowledge bases - Vector databases: Pinecone, ChromaDB, Weaviate, FAISS - Semantic search and intelligent data retrieval 3. AI Voice Agents & Chatbots - AI voice calling agents and real-time conversational systems - Speech-to-text and text-to-speech integrations - Twilio, Deepgram, ElevenLabs, Cartesia, VAPI integrations - Customer support, appointment booking, and sales automation bots 4. Python & Backend Development - FastAPI, Django, REST APIs, Webhooks - Scalable backend systems and AI-powered applications - API integrations and microservices architecture - Authentication, databases, cloud deployment, and automation scripts 5. Automation & Workflow Systems - Advanced n8n and Make automation workflows - CRM automation and third-party integrations - Lead generation, notifications, reporting, and data synchronization - Workflow optimization for scalability and reliability Technologies & Tools: - AI & LLMs: OpenAI, GPT-4, Claude, Gemini, LLaMA, Mistral - Frameworks: LangChain, LangGraph, AutoGen, PyTorch, TensorFlow - Automation: n8n, Make, Zapier, Airtable, Notion - Voice AI: Twilio, Deepgram, ElevenLabs, VAPI, Cartesia - Backend: Python, FastAPI, Django, REST APIs, Webhooks - Databases: MongoDB, PostgreSQL, Pinecone, ChromaDB, Weaviate, FAISS - Cloud: AWS, Azure AI Services, Serverless Deployments I focus on delivering clean architecture, scalable systems, fast turnaround, and clear communication throughout the project lifecycle. Whether you need: - AI automation systems - AI SaaS development - AI chatbots or voice agents - RAG applications - Custom backend APIs - Workflow automation with n8n/Make - Full AI product development I can help you build reliable, production-ready solutions tailored to your business goals.

With 20+ years of experience, I help enterprises deploy production-ready AI solutions and transform their data operations for measurable business impact. I've partnered with top-tier brands including DXC, Lincoln National, Jackson National, and Cisco, delivering scalable, secure systems while translating complex technical concepts for executive stakeholders. • 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: I architect autonomous AI agent systems using Model Context Protocol (MCP), multi-agent orchestration (CrewAI, LangGraph, AutoGen), and agentic AI workflows. My core capabilities include generative AI modeling, deep learning, NLP, computer vision, and multimodal AI. I build production solutions with Python, LlamaIndex, LangChain, RAGs, Vector Databases, and prompt engineering. I integrate leading AI APIs (OpenAI, Anthropic, custom models) and provide AI data annotation, labeling, and strategy consulting that bridges technology and business requirements. • 𝐌𝐋𝐎𝐩𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 I design MLOps pipelines with CI/CD for ML, model monitoring, drift detection, and governance. On the data engineering side, I build robust ETL pipelines using Apache Airflow, Talend, AWS Glue, dbt, and Spark. I've architected data lakes and warehouses on AWS, Azure, and GCP with PostgreSQL, MySQL, MongoDB, and Cassandra, implementing real-time streaming (Kafka, Kinesis), data visualization, mining, and extraction. I create data-driven dashboards with Looker Studio, Power BI, Tableau, I also specialize in edge AI for IoT applications and AI-driven data automation. • 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 I create sophisticated workflow automation using n8n, Zapier, and Make, connecting AI capabilities with business systems. I build no-code/low-code solutions (Airtable, Notion) and develop full-stack applications with React and modern JavaScript frameworks, leveraging AI-assisted development for rapid iteration. • 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 I implement AI/ML security, Zero Trust architectures, and secure AI pipelines across cloud platforms. My DevOps expertise includes CI/CD, Docker, Terraform, and infrastructure automation. I create data-driven dashboards with Looker Studio, Power BI, Tableau, and Grafana. I ensure compliance with CMMI Level 5, SOC2, HIPAA, GDPR, ISO 27001, and PCI DSS for regulated industries. I excel at cross-functional collaboration and stakeholder communication. Whether you need an agentic AI architect, MLOps engineer, data engineering specialist, or end-to-end AI transformation partner, I'm ready to start immediately.

Since 2019, I've connected early-stage startups with senior developers and designers who actually fit their culture and tech stack. No recruitment BS, no flaky freelancers, just people I've worked with and trust. I run New Wave Devs, an engineering studio working with startups across the US, UK, Canada, Netherlands, and Norway. We do team augmentation, MVP builds, design work, and team rescue when things go sideways. Our engineers work directly with your team, usually onboarded in under a week, and you talk to the engineer, not a sales layer. The bench runs deep. On the frontend, React, React Native, TypeScript, and Flutter. On the backend, Ruby on Rails, Node, Python, and .NET. Plus AI engineers shipping RAG and agentic workflows in production, along with designers, DevOps, and QA. Mostly SaaS, marketplaces, fintech, and mobile. These aren't junior generalists. Our people have scaled Postgres past a billion rows, shipped Stripe Connect marketplace payments, built HIPAA-compliant health platforms, run native apps at over a million monthly users, and put RAG assistants in front of real customers. So whether you're shipping a first MVP or hitting your first real scaling wall, someone here has already done it. Why people work with us: fast onboarding (1 to 7 days), engineers who match your culture, transparent pricing, and a track record of 100K+ in contracts with long-term clients who keep coming back.

I build AI agents that become business assets, work 24/7 and make your life easier. Most AI agents fail because builders use cookie cutter agents with some patchwork. I do things differently. You get a production-grade system that actually solves your business problem (not just a demo) which scales with your company growing. What I deliver: AI agents and systems that transform how you operate, or become the foundation of your next offering. Custom-built, deployed, ready for real users. How I work: Phase 1: Understand the problem, map the opportunity Phase 2: Build working proof, validate before scaling Phase 3: Production system, deployed, tested, usable Phase 4: Iterate, refine based on real usage, grow together This isn't a one-off engagement. Clients often start with a first build and continue through v2, v3, and beyond. Some partnerships run 2-3 years. Who this is for: Business owners and founders investing in AI transformation. You have vision, budget, and want a partner, not a vendor. Who this isn't for: Quick fixes, legacy cleanup, or bolting AI onto broken workflows. If you want fast and cheap, I'm not your guy. Background: MS in Computer Science. 10+ years applied AI. Published researcher. Clients repeatedly say: "Clarity came through building with you." Recent examples: • AI design platform: from idea to paying users, still evolving 2+ years later • RFQ automation system: replaced 10 browser tabs with one platform (has 8 agents), ongoing partnership Technical depth: Python, FastAPI, LangChain, OpenAI, RAG architectures, cloud deployment (GCP/AWS), fine-tuning, vector DBs, Claude Code. ✔ Consulting: 30-minute paid calls available for scoping, second opinions, or "should we build this?" conversations. DM me if you're building something.

About Us = = = = At ALGO, we design and develop systems, platforms, and automation powered by AI and emerging technologies. We integrate AI agents, software, data, and infrastructure to turn complex use cases into real, scalable, production-ready solutions. What We Do = = = = We build solutions in: AI, agents, platforms, systems, and automation, along with Blockchain, IoT, Immersive Technologies, Robotics, Game Development, Cybersecurity, Digital Twins, and Quant Engineering. Our focus is clear: moving from isolated experiments to integrated systems that generate real business impact. Why ALGO = = = = ALGO combines advanced engineering, expertise in emerging technologies, and strong execution capabilities to help companies design, develop, and scale complex technology solutions. Let’s build what matters = = = = If you’re looking to turn AI or emerging technologies into real solutions, ALGO can help.

Need a working Healthcare AI system — not just a model? I build end-to-end ML pipelines for medical imaging, genomics, and clinical EHR data that are reproducible, deployment-ready, and grounded in real clinical constraints. 🧠 I sit at the intersection of research and production: I've built chest X-ray classifiers, protein sequence models, and Text-to-SQL systems for clinical databases — not as experiments, but as systems that actually run. My background spans both academic research labs and industry ML roles, so I understand what it takes to move from a paper or prototype to something a clinical team can use. I don't just hand over a trained model. I deliver clean pipelines, documented code, and reproducible experiments — so your team can maintain, retrain, and trust what I build. What I can build for you: 🩻 Medical Imaging AI - Disease detection in X-ray, CT, and histopathology images - Classification, segmentation, and image retrieval pipelines - Handling real-world challenges: class imbalance, noisy labels, limited data 🧬 Genomics & Protein Modeling - Protein sequence analysis and disordered region prediction - Biomarker and gene mutation prediction models - Representation learning on biological sequence data 🏥 Clinical (EHR) Data & Predictive Modeling - Patient risk stratification and outcome prediction - Structured and unstructured clinical data analysis - Natural language interfaces for hospital databases (Text-to-SQL) ⚙️ End-to-End ML Development - Raw dataset → trained model → working API or prototype - PyTorch and Scikit-learn pipelines with full experiment tracking - Research papers converted into usable, benchmarked systems ✅ Top Rated Plus on Upwork — top 3% of talent on the platform ✅ 4.96 star rating across 2,200+ hours of healthcare AI work ✅ Built medical imaging models for COVID and pneumonia detection from chest X-rays ✅ Developed protein structure prediction systems used in active computational biology research ✅ Designed a Text-to-SQL system enabling natural-language queries on clinical hospital databases ✅ Kaggle Computer Vision certification If you're building a healthcare AI product, validating a research prototype, or working with complex medical data, send me a message and describe your project. I'll respond within a few hours with a clear path forward. 🚀