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Hi, I’m Aniket - a Machine Learning Engineer and Quantitative Systems Developer focused on building data driven trading and analytics systems. I work with Python, Pytorch, sciki learn, Pandas, and NumPy to develop ML models, backtesting engines, and paper trading platforms for financial and market data. My work emphasizes robust evaluation, risk aware design, and clean engineering, not just model accuracy. I specialize in: - ML for Financial & Market Data - Quantitative Strategy Research & Signal Modeling - ML Based Backtesting & Paper Trading Systems - Financial Time-Series Analysis & Feature Engineering - Risk Management & Performance Evaluation - End-to-End ML & Trading Pipelines I’m also an active open source contributor to production grade Python and data science/ML libraries, which helps me deliver maintainable, scalable, and reliable systems. Whether you need strategy research, an ML backtester, or a trading analytics pipeline, I bring a practical, engineering-first mindset focused on real-world results. Let’s collaborate to transform your data into actionable outcomes, on time and with precision.

🚀 Generative AI Product Developer | AI/ML Specialist | Gold Medalist 🎓 With 4+ years of experience in AI/ML, Recommender Systems, and Generative AI product development, I specialize in crafting innovative, research-driven solutions for large organizations and research labs. Passionate about advancing AI technologies, I thrive on creating impactful, scalable systems. 🎓 Education 🥇 Gold Medalist | Central University of Karnataka, India Master’s Degree in Electrical Engineering 💡 Core Expertise Generative AI & Multi-Agent Systems: Designed and deployed cutting-edge multi-agent products and fine-tuned reasoning models to improve performance in benchmarks like OpenLeaderboard. End-to-End System Deployment: Skilled in deploying backend architectures on GCP Run-Cloud using GitHub workflow actions for CI/CD pipelines. Application Development: Proficient in designing, testing, and deploying applications on AWS, Heroku, and GCP with Flask and Gunicorn. 🛠️ Technical Toolkit Frameworks: PyTorch, scikit-learn Language Models: Huggingface Transformers, LangChain Cloud & MLOps: AWS (EC2, S3, Elasticsearch, Sagemaker), GCP Run-Cloud Tools & Version Control: GitHub, wandb Databases: Pinecone, Chroma (Vector Databases) UI Frameworks: Gradio, Streamlit 🔍 NLP Expertise Expertise in chatbots, data extraction, text classification, and sequence labeling. Fine-tuned large language models, including phi-4 reasoning models, to enhance performance for targeted use cases. 🏆 Notable Achievements Improved large language model benchmarks, contributing to better reasoning performance in industry-recognized evaluations like OpenLeaderboard. Successfully created and deployed multi-agent products with innovative AI-driven solutions. 🌟 Why Collaborate With Me? As a dedicated problem solver and strategic thinker, I bring deep expertise in AI/ML, MLOps, and NLP to help organizations unlock the full potential of their data. From ideation to deployment, I am ready to bring your AI vision to life while staying at the forefront of Generative AI advancements.

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.

I build AI-powered systems that go straight to production — LLM agents, RAG pipelines, computer vision, and full-stack AI backends for startups and SaaS companies worldwide. ✮ 100% Job Success Score ✮ 5-Star Reviews Across All Contracts ✮ $10K+ Earned on Upwork ✮ 0-4 Hour Response Time ✮ Active Clients in Japan, US, and India ✮ Available Now [ What I Build For You ] ✮ AI Engineer and LLM Agent Developer ✮ RAG Pipeline Engineer ✮ Computer Vision Engineer ✮ FastAPI and Python Backend Developer ✮ Full Stack AI Developer ✮ AWS Cloud and DevOps Engineer ✮ AI Automation and Workflow Developer ✮ SaaS AI Product Developer I specialise in turning AI ideas into production systems — not demos, not prototypes, but real software that scales and ships fast. [ AI Agents and LLM Systems ] ✮ LangChain and LangGraph agent development ✮ Claude API, OpenAI API, Gemini API integration ✮ RAG pipeline development from scratch ✮ Vector databases — Pinecone, FAISS, ChromaDB ✮ Prompt engineering and hallucination reduction ✮ Multi-agent orchestration and tool use ✮ Gmail API, Slack API, Notion API, Sheets API ✮ Human-in-the-loop approval workflows ✮ LLM cost optimisation and token tracking ✮ AI workflow automation for SaaS businesses [ Computer Vision Systems ] ✮ YOLOv8 and UNet model training and deployment ✮ Object detection and semantic segmentation ✮ Real-time video analysis and CCTV AI systems ✮ Medical image analysis and industrial vision ✮ OpenCV, dlib, TensorFlow, Keras, PyTorch ✮ Custom model fine-tuning on domain datasets ✮ Computer vision APIs and edge deployment [ Backend and API Development ] ✮ FastAPI and Python backend development ✮ REST API design, integration, and testing ✮ JWT authentication and OAuth2 implementation ✮ PostgreSQL, MongoDB, MySQL database design ✮ Async Python and scalable architecture ✮ Node.js, Ruby on Rails, React, TypeScript ✮ Full stack SaaS backend development [ Cloud and DevOps ] ✮ AWS — EC2, S3, Lambda, SQS ✮ Google Cloud Storage integration ✮ Docker containerisation ✮ CI/CD pipelines and GitHub Actions ✮ MLOps — model monitoring and retraining ✮ Cloud infrastructure for AI systems [ Production Results Delivered ] ✮ Real-time CCTV anomaly detection system — 10,000+ frames per day, 90%+ accuracy, 60% reduction in manual workload (YOLOv8 + OpenCV + FastAPI + AWS) ✮ AI avatar interview SaaS platform — 300+ enterprise clients across 32 languages (Ruby on Rails + React + LLM integration) ✮ Multi-agent LLM workflow systems — RAG pipelines shipped to production in days (LangChain + LangGraph + Claude API) ✮ Patient monitoring tracking system — Healthcare-grade CV pipeline on AWS (YOLOv8 + OpenCV + AWS Lambda) [ Why Clients Choose Me ] ✮ Production-first mindset — I build for scale, not demos ✮ End-to-end ownership from architecture to deployment ✮ Active international clients in Japan and India ✮ Fast communication — 0-4 hour response time ✮ 100% Job Success Score and 5-star reviews [ Keywords ] AI Engineer | Python Developer | LangChain Developer LLM Engineer | RAG Developer | AI Agent Developer Computer Vision Engineer | YOLOv8 Developer FastAPI Developer | Backend Python Developer AWS Engineer | Full Stack AI Developer OpenAI API Developer | Claude API Developer Gemini API Developer | LLM Integration Developer LangGraph Developer | Vector Database Developer Pinecone Developer | FAISS Integration Developer RAG Pipeline Developer | Prompt Engineer AI Automation Developer | AI SaaS Developer Machine Learning Engineer | Deep Learning Engineer Object Detection Developer | Image Segmentation REST API Developer | Node.js Developer React Developer | TypeScript Developer Ruby on Rails Developer | MongoDB Developer PostgreSQL Developer | Docker Developer CI/CD Engineer | MLOps Engineer AI Backend Developer | Real-time AI Systems Production AI Systems | Scalable AI Development SaaS AI Developer | Startup AI Engineer Remote AI Engineer | International AI Developer | Full Stack Developer | Full Stack | Mobile App Full Stack Developer | SaaS Application Development | Full Stack SaaS Developer | MERN Full Stack developer | MEAN Stack developer | Full Stack Developer React Node | React Full Stack Developer| Node Full Stack Developer | Next.js full stack developer | MongoDB full stack developer| REST API Full Stack Developer | JAVA Full Stack Developer| SPRINGBOOT Full Stack Developer| MICROSERVICES full stack Developer|Kafka full stack developer|Angular Full Stack Developer| React Developer | Node.js Full Stack Developer| React Node | Backend nodejs Full Stack Developer| node.js full stack developer | Full Stack MERN | MERN MEAN full stack developer| MERN developer | MERN stack | MEAN developer | .NET developer | .NET core | Full Stack .NET Developer | Azure Full Stack Developer | AWS Full Stack Developer| Google Cloud | REST API Full Stack Developer If you need an AI engineer who ships production systems fast — message me and let's build it.

DATA SCIENTIST — everything I build, you can verify the math. I deliver transparent, auditable data models where every number can be checked. Specializing in quantitative research, statistical modeling, Data insights and automation. QUANTITATIVE RESEARCH & PORTFOLIO CONSTRUCTION : I build and backtest equities, with live execution and kill switches on Alpaca where needed. Position sizing, risk allocation, rebalancing logic, all of it grounded in the math, not gut feel. Quick example of how I think: a momentum strategy covering 145 stocks was delivering 41% CAGR. Expanding to 245 stocks dropped it to 36%. Counterintuitive. The root cause: New stocks were selected on hot recent momentum, so by entry their cycle was already done. Built a 5-filter Monte Carlo system, tested 700+ parameter combinations, to identify which satellites are early-cycle vs peaked. Result: 43%+ CAGR with lower drawdown than the 145-only baseline. The problem wasn't the strategy. It was the timing of entry. Another example: I built a live MBS (Mortgage-Backed Securities) forecasting and trading system for a fund client, covering 265+ cohort securities across weekly, monthly, and quarterly return horizons. The interesting part wasn't the ML, it was the feature design. Standard technical indicators on bond prices are noise. What actually drives MBS price movements is duration, convexity, prepayment rates, regime variables like curve steepness, VIX, and Fed MBS holdings. Every feature built from first principles, nothing borrowed from a vendor that can't be verified. This is where I spend most of my time. Systematic backtests, portfolio construction, Monte Carlo optimization. No black boxes, no ML hype every output can be checked in a spreadsheet. Not "add more data." Find the actual structure driving returns, and build features that reflect it. DATA SCIENCE & ANALYTICS I've worked across real estate, e-commerce, and financial analytics, usually called in when a team has data but no clear answer yet. I focus on getting to a decision you can act on, not a 40-slide deck. Results worth mentioning: ML automation cut a client's data processing from 286 days to 1 day, after they'd run the same manual process for two years without realizing it was automatable Ad spend attribution model that improved campaign ROI by 25% WHAT MAKES ME DIFFERENT ▸ I show my work. Every model, every analysis, every number comes with the method behind it, so you're never trusting a black box ▸ I'd rather tell you a strategy doesn't hold up than build you something that looks good and fails in real world. ▸ I scope real problems fast: send me what you're working with and I'll tell you within 24 hours if and how I can help

8+ years of experience | Top Rated Plus Freelancer 𝗠𝗼𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗮𝗿𝗲 𝗹𝗼𝘀𝗶𝗻𝗴 $50𝗞–$500𝗞+ 𝗶𝗻 𝗵𝗶𝗱𝗱𝗲𝗻 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝗶𝗲𝘀, missed leads, manual workflows, slow response times, and disconnected systems. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜/𝗠𝗟-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗶𝘁, 𝗮𝗻𝗱 𝗿𝘂𝗻 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲. I’ve worked with 25+ businesses across healthcare, SaaS, eCommerce, hospitality, construction, distribution, local services, and enterprise systems, building production-ready AI solutions that automate real workflows, not demos. 𝗥𝗲𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ➞ Healthcare : Voice AI, clinical chatbots, medical transcription (NLP), patient engagement, appointment automation ➞ Distribution & Manufacturing : Document AI (OCR), order parsing, inventory automation, demand forecasting, analytics dashboards ➞ Hospitality & Local Services : AI booking systems, WhatsApp automation, conversational AI, lead conversion systems ➞ Construction & Real Estate : Data extraction, lead generation systems, workflow automation, CRM pipelines ➞ SaaS & Internal Tools : AI copilots, GPT-based apps, analytics dashboards, reporting systems, multi-agent architectures 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ClaudBot : AI assistant for conversations, workflows, and task automation CoWork : internal AI workspace for team productivity and knowledge access MoltBot : AI automation system for lead handling and business operations Paperclip : document AI system for parsing, extraction, and validation CrewAI-based systems : multi-agent workflows, task coordination, tool execution RAG systems : knowledge base AI and semantic search across documents NLP systems : text classification, entity extraction, summarization, intent detection Chatbots : web, WhatsApp, and support automation Voice AI : conversational systems and IVR automation LLM pipelines : prompt design, tool calling, structured outputs AI copilots : internal assistants for teams and operations Workflow automation : APIs, CRM/ERP integrations, Zapier, Make, n8n Document AI : OCR, PDF parsing, data extraction and validation Data pipelines : ETL, real-time processing, structured data flows Dashboards & analytics : reporting systems and insights generation Predictive systems : recommendation engines and ML models 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 AI / ML & LLMs OpenAI (GPT-4/4o), Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, Hugging Face, Fine-Tuning, Embeddings, Vector Search, MCP, Function Calling Agent Frameworks & AI Systems LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, Hermes Agent Framework, Mastra, PydanticAI, Multi-Agent Systems, Agentic Workflows, Tool Calling, AI Copilots AI Application Frameworks Vercel AI SDK, Next.js AI Applications, AI Assistants, Streaming AI Interfaces, AI SaaS Development RAG & Knowledge Systems LlamaIndex, Haystack, Pinecone, Weaviate, Qdrant, ChromaDB, FAISS, Hybrid Search, Semantic Search, Knowledge Graphs Voice AI & Conversational Systems LiveKit Agents, Vapi, Retell AI, Bland AI, ElevenLabs, Whisper, Speech-to-Text (STT), Text-to-Speech (TTS), AI Voice Agents, IVR Automation Computer Use & Browser Agents Browser Use, Stagehand, Computer Use Agents, Web Automation Agents, Autonomous Workflows Observability & Evaluation LangSmith, LangFuse, Arize Phoenix, Prompt Evaluation, LLM Monitoring, AI Analytics Automation & Integrations n8n, Zapier, Make, REST APIs, Webhooks, HubSpot, Salesforce, WhatsApp API, Twilio, CRM/ERP Integrations Backend & Infrastructure Python, FastAPI, Django, Node.js, Docker, AWS, GCP, Azure, LiteLLM, Ollama, vLLM, Microservices, Serverless Architecture Frontend React, Next.js, TypeScript, Vercel Databases & Data Engineering PostgreSQL, MongoDB, Redis, Supabase, ETL Pipelines, Real-Time Data Processing, Analytics Pipeline 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Real workflows, not experiments Fast build → quick iteration Stable, scalable systems Clear and direct communication 𝗪𝗵𝗲𝗻 𝗜’𝗺 𝗔 𝗚𝗼𝗼𝗱 𝗙𝗶𝘁 You want to automate business processes using AI/ML You need chatbots, voice AI, or AI agents in production You’re building AI-powered products or internal tools You want to scale without increasing manual work 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 If you're looking to reduce manual work, build AI systems, or scale automation across your business, let’s connect. Keywords: AI Backend Systems, Next.js developer, React developer, Full Stack Developer, AI Automation Engineer, AI Workflow Automation, Python developer, FastAPI developer, Django developer, n8n developer, n8n specialist, Make expert, Make Integromat, Zapier expert, Zapier automation, Airtable consultant, Airtable developer, Supabase specialist, Firebase developer, AI Chatbot developer, Voice Bot developer, Vapi AI integration, Retell AI developer, ElevenLabs Voice AI, AI MVP prototyping, Bolt developer, Lovable app, SaaS application developer