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Deployed multiple AI products. Sub-200ms voice agent latency. 5x LangGraph optimization for Multi-Agent AI systems. See everything at - devbhangale.vercel.app You get one engineer who handles the AI, the backend, and the frontend. No handoffs. No coordination overhead. Just a complete system that ships. 🤖 AI Chatbots and Customer Support Agents- You get a LangGraph and LangChain-powered conversational agent with memory, tool calling, fallback handling, and a working eval harness baked in. Your bot handles real traffic, routes edge cases, and gives you measurable accuracy before it goes live. Integrates with OpenAI API, Gemini API, and Claude API depending on your latency and cost targets. 🧠 Multi-Agent AI Workflows- You get complex autonomous pipelines built with LangGraph, AgentSDK and CrewAI for research automation, financial analysis, document processing, and multi-step business decision workflows. Includes human-in-the-loop checkpoints, state management, and structured output generation. 🎙️ Voice AI Agents- You get a real-time inbound and outbound voice pipeline with sub-200ms response latency built on LiveKit and Google Cloud Vertex AI. It handles calls, qualifies leads, books appointments, and updates your CRM without a human on the other end. Powered by Deepgram STT, ElevenLabs or Sarvam AI TTS, and OpenAI Realtime API. 📚 RAG Systems and Knowledge Bases- You get a production Retrieval-Augmented Generation pipeline built on Qdrant with chunking strategy, semantic embeddings, hybrid search, and retrieval accuracy benchmarking. Your documents, product catalog, or internal knowledge base becomes queryable and accurate. Your team stops digging through PDFs. 🌐 Full-Stack Web Applications- You get a Next.js 15 (React 19) and FastAPI and PostgreSQL application with clean architecture and a UI that does not look assembled from a template. From MVP to production-grade SaaS with role-based access, multi-tenant support, and WebSocket-powered real-time features. 📈 Algorithmic Trading Systems- You get end-to-end trading pipelines integrated with live exchange APIs covering strategy backtesting, live signal execution, real-time data ingestion, and performance analytics dashboards. Notable builds: → Astrophage: LangGraph Vedic astrology AI platform. Reduced agent response time from 30 seconds to 6 seconds through a 5-node pipeline redesign. Qdrant RAG, Gemini Live API voice, 12 bound tools, multilingual support. Live at astrophageai.vercel.app → AI Voice Agent Platform: Sub-200ms real-time voice pipeline using LiveKit and GCP Vertex AI with SFU region pinning for Indian market latency. Deepgram STT, Sarvam AI TTS, WebSocket audio streaming. → FinAI: Multi-agent chartered accountant assistant using CrewAI. Automates capital gains (FIFO), HRA calculation, ITR schema mapping, and tax regime comparison with structured report generation. → InwiseIt: Production SaaS invoice platform with Next.js 15, FastAPI, PostgreSQL, role-based access, and shadcn/ui component architecture. → AI Ticketing System: LLM-powered triage system with automatic classification, priority scoring, and CRM handoff for business clients. → Algorithmic Trading Pipelines: Live exchange API integration with real-time signal execution, backtesting engine, and performance analytics. ⚙️ Tech Expertise: AI Agents and Orchestration: LangGraph, LangChain, CrewAI, Pydantic AI, OpenAI API, Gemini API, Claude API, AutoGen, LlamaIndex Voice AI: LiveKit, Google Cloud Vertex AI, OpenAI Realtime API, ElevenLabs, Deepgram, Retell AI, Vapi, Whisper, Sarvam AI RAG and Vector Search: Qdrant, Pinecone, ChromaDB, FAISS, semantic embeddings, hybrid search, document ingestion pipelines, retrieval benchmarking Chatbot Development: multi-turn conversation, tool calling, memory systems, structured outputs, function calling, LLM eval harnesses, prompt engineering Full-Stack Web: Next.js 15, React 19, FastAPI, PostgreSQL, Tailwind CSS, shadcn/ui, TypeScript, WebSockets, REST APIs Algorithmic Trading: live exchange API integration, strategy backtesting, real-time data ingestion, signal execution pipelines Deployment and Infrastructure: Docker, Vercel, GCP, AWS, Railway, async pipelines LLM Evaluation and Observability: eval harnesses, accuracy benchmarking, prompt testing, production monitoring, LangSmith

I build production-grade GenAI systems for Fortune 500 enterprises including Verizon and PNC, : AI agents, RAG platforms, semantic layers, knowledge graphs, text-to-SQL/NLQ systems, and full-stack AI applications. I have 9+ years of experience across machine learning, computer vision, NLP, backend engineering, and full-stack product development. Recently, I have led large engineering teams building enterprise AI platforms for telecom and banking use cases. What I can help you build: • AI agent systems using LangGraph, LangChain, MCP, A2A, FastAPI, and custom tool orchestration • RAG applications over documents, databases, knowledge bases, and enterprise data • Semantic layers and ontology-driven systems for analytics and GenAI use cases • Text-to-SQL / natural language database querying over Postgres, BigQuery, and Teradata • Knowledge graph RAG using Neo4j, vector databases, metadata extraction, and domain modeling • Full-stack AI SaaS products with Python, React, Next.js, Docker, Kubernetes, and cloud deployment • LLM fine-tuning, evaluation, prompt engineering, retrieval evaluation, and hallucination reduction Relevant achievements: • Led a 14-member team to build an asynchronous, extensible, A2A-compliant agentic framework for enterprise troubleshooting. • Reduced ticket resolution time in a production troubleshooting workflow from days to minutes. • Built and deployed hundreds of tools across multiple MCP servers. • Led a 12-member team to build a natural language query platform for enterprise databases. • Improved NLQ accuracy using domain modeling, metadata generation, and knowledge graph traversal. • Built an ontology-powered Knowledge Graph RAG platform over unstructured enterprise data. • Co-founded and scaled an AI video translation/dubbing product from $0 to $100k revenue in 6 months. • Built computer vision systems deployed across industrial locations in India and Europe. Tech stack: Python, FastAPI, LangChain, LangGraph, LlamaIndex, OpenAI, HuggingFace, PyTorch, PEFT/LoRA, React, Next.js, Postgres, BigQuery, Neo4j, Pinecone, Docker, Kubernetes, ArgoCD, GCP, AWS, PySpark, Airflow. I am best suited for clients who need more than a prototype. I can help you go from ambiguous AI idea → system design → implementation → deployment → evaluation → production hardening.

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

I am not just an AI Engineer; I am a storyteller who connects the dots between complex data and business growth. With 5 years of hands-on experience and a robust academic foundation in Statistics and Engineering, I specialize in building AI systems that don't just work they innovate. Why work with me? I don’t just deliver code; I translate your high-level business needs into high-performing, production-ready AI systems that solve real-world bottlenecks. My Core Expertise: - AI Solutions: Text analysis & image recognition - AI Search: Smarter answers with RAG & advanced prompt design - Custom AI Models: Tailored GPT, Gemini, LLaMA, Claude & more - Vibe Coding: Cursor, Lovable, Antigravity, etc.. - AI Workflows: Multi-agent automation for complex tasks - Voice AI: Text-to-speech & speech-to-text (AWS, Google, Azure) - AI Visuals: From idea to image using DALL·E, Midjourney, Stable Diffusion - Automation: Zapier, Make, n8n & custom workflows - Smart Pipelines: Event-driven triggers, error handling & smooth operations AI Agents & Chatbots: I build sophisticated multi-agent and RAG frameworks. Examples include E-commerce virtual associates that drive sales and POS customer support agents that handle complex queries autonomously. Text-to-SQL & Analytics: I enable non-technical users to "talk to their data," providing instant, natural-language insights into sales, inventory, and KPIs. Intelligent Automation (n8n): I streamline operations by eliminating repetitive tasks. My AI-powered HR Agent workflow automatically parses, scores, and ranks candidates to find your "best fit" instantly. Computer Vision & OCR: Expert in YOLO and Qwen2.5-VL. I automate data entry from handwritten or digital invoices directly into structured JSON for accounting and inventory software. Full-Stack AI Deployment: I take models from notebooks to production. Expert in the full AI lifecycle, including MLOps, containerization (Docker), and scalable cloud deployment on GCP. The Toolbox: Frameworks: PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV. LLM Ops & Orchestration: LangChain, LangFlow, DSPy, OpenAI API, Apple MLX. Deployment: Docker, GCP, MLOps pipelines. I am dedicated to delivering results that exceed expectations always on time and within budget. Let’s build your success story. Click the 'Invite' button to start a conversation!

I help researchers, startups, and businesses turn AI ideas into working MVPs and scalable products through machine learning development, AI model integration, AI/Backend Engineer, Workflow Automations and research-backed implementation & writing support. 🏆 Top Rated | 100% Job Success | about $10K+ Earned | 40+ Completed Upwork Jobs Whether you need to validate an AI idea, integrate an existing model, reproduce research code, or improve an ML pipeline, I can help move your project from concept to a reliable implementation. 🏆 MVPs to Scalable Products | AI Research & Development | Research Support-Asistance 🧠 Deep Learning | Machine Learning | ML Model Training & Fine-Tuning | APIs | LLMs 🌟 2D/3D Vision | Sensors and Medical Data | GitHub & Hugging Face Code Reproduction 🧠 Classification, Regression, Time Series, Forecasting, Detection & Recognition WHAT I CAN HELP YOU BUILD: ✅ AI & Machine Learning MVPs, SaaS, Startup Predictive models, prototypes, backend APIs, AI model integration, and deployment-ready workflows. ✅ Deep Learning & Computer Vision Solutions Image classification, object detection, segmentation, anomaly detection, medical imaging, and 2D/3D vision pipelines. ✅ LLM, RAG & AI Integration OpenAI API integration, LangChain workflows, ChromaDB knowledge bases, retrieval pipelines, and AI-powered applications. ✅ Model Training & Fine-Tuning Data preparation, training pipelines, experimentation, evaluation, optimization, and reproducible implementation. ✅ Research Support & Code Reproduction Research-paper implementation, GitHub and Hugging Face code reproduction, benchmarking, ablation studies, experiment support, and technical reporting. ✅ Medical & Scientific Data Solutions Research-focused machine learning workflows for structured, image, and multimodal datasets. ✅ Time-Series & Sensor Data Solutions Forecasting, anomaly detection, signal processing, predictive modelling, and machine learning workflows for sensor, IoT, and sequential datasets. CORE TOOLS: Python | PyTorch | TensorFlow/Keras | Scikit-learn | OpenCV | Vercel AI | Github | Hugging Face | Flask | FastAPI | OpenAI API | Claude Code | LangChain | ChromaDB | Next.js | SQL | Docker | R/Rstudio | Matlab PyTorch | TensorFlow | Deep Learning | Neural Networks | Machine Learning | Machine Learning Model | Large Language Model | RAG | AI Model Development | AI Model Integration | Data Engineering | biostatistics | Statistical Analysis | Data Engineering | Image processing | Signal Processing WHAT YOU CAN EXPECT ✓ Clear communication and realistic scoping ✓ Clean, reproducible code and documentation ✓ Research-backed implementation decisions ✓ Flexible collaboration across USA, Europe, UK, and Australia time zones I also support Python/R Data Science Data Analysis, NLP, LLMs, OpenAI API, RAG chatbots, Clinical Data, Data Engineering, scraping tasks projects and build ETL pipelines as well as setup databases. Share your idea, dataset, existing codebase, or research paper, and I will help define the most practical path from prototype to implementation.

𝗜𝗻𝘀𝗽𝗶𝗿𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝗜𝗜𝗧 𝗚𝘂𝘄𝗮𝗵𝗮𝘁𝗶 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 | 𝟱 𝗬𝗲𝗮𝗿𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ✅ IIT Guwahati Alumnus with 5 Years Enterprise & AI Experience (TCS, HCL Technologies) ✅ Expert in Advanced AI Pipelines, Agentic Workflows, and GraphRAG Architecture ✅ Skilled in Python, FastAPI, Node.js, NestJS, Next.js, and Cloud Infrastructure ✅ Available 30+ hrs/week | Dedicated, reliable, and highly responsive ✅ Goal: Build a 100% Job Success Record on Upwork through top-tier engineering 🔴 I may be new to the Upwork platform, but I bring half a decade of production-level engineering experience scaling systems for global tech giants. 🔴 Transitioning to full-time freelance AI development investing my full focus, speed, and enterprise standards into your project. 🔹 AI & LLM Skills AI Agents / Agentic Workflows: LangGraph, CrewAI, AutoGen, CrewAI Multi-Agent setups Advanced RAG: GraphRAG, LlamaIndex, Knowledge Graphs via Neo4j, Hybrid Vector Search Frontier Models: Claude 3.5 Sonnet/Opus, OpenAI GPT-4o, Gemini 1.5 Pro, Llama 3.2 Vision Edge AI & SLMs: Ollama, Llama 3.1/3.2, Phi-4 (Quantized deployment for cost optimization) Voice & Multimodal AI: OpenAI/Gemini Native Realtime WebSockets APIs (Low-latency audio) Observability & Vector DBs: LangSmith, Pinecone, Qdrant, Milvus, Chroma DB 🖥️ Backend Skills Python (FastAPI, Flask) | Node.js, Express.js, Nest.js Real-Time Data Streaming: Kafka, Redis Streams, WebSockets API Development: Secure RESTful APIs, gRPC, and GraphQL Databases: PostgreSQL, Supabase, MongoDB, Redis (Semantic Caching) DevOps & Cloud: Docker, AWS (EC2, Lambda, S3, Bedrock), Vercel 🌐 Frontend Skills React.js, Next.js 15 (App Router, Server Components) TypeScript, Redux Toolkit, Tailwind CSS Building highly responsive, secure, data-driven AI SaaS Dashboards 🛠️ Tools & Technologies ML libraries: Scikit-learn, Pandas, NumPy LLM Fine-tuning & Optimization: LoRA, PEFT, Hugging Face Hub Version Control & CI/CD: Git, GitHub Actions 🌟 Why Work With Me? I am building my freelance portfolio after 5 years in enterprise engineering. I deliver fast, communicate clearly, and charge fairly while I establish my Upwork presence. Every project gets my full attention. Warm regards, Aman