Hire the Best Machine Learning Engineers
in India

I am an AI/ML Engineer with 9 years of experience building production-ready solutions across banking, healthcare, automotive, and e-commerce domains. I specialize in AI-powered document processing, OCR, financial data extraction, Generative AI, RAG, NLP, and predictive modeling. I help businesses convert complex PDFs, scanned documents, financial statements, bank statements, tax forms, credit reports, and debt schedules into accurate, structured, and usable data. My experience includes designing end-to-end document classification and extraction pipelines, implementing PII detection and masking, building LLM-based workflows, and integrating AI solutions with APIs and user interfaces. My technical expertise includes Python, PyTorch, XGBoost, LangChain, LangGraph, Azure AI Document Intelligence, Azure AI Search, AWS, Docker, Kubernetes, MLflow, FastAPI, and SQL. Key accomplishments include building a healthcare claim-denial prediction solution with a 95% F1 score, developing automated financial document extraction systems, and designing scalable AI workflows for enterprise applications. I focus on delivering reliable, secure, and maintainable solutions that solve real business problems. Whether you need document automation, an OCR pipeline, a RAG application, an AI agent, or a custom machine learning model, I can help take the project from idea to production.

I have 6+ years experience as an ML/NLP Engineer. I worked with Micro1 where we developed a smart networking app which was aimed at encouraging and reconnecting old friends to meet where an AI bot came up with plans matching friends and planning the outing based on preferences. I managed the entire ML framework for this app combining Gen AI tools with ML algorithms for matching. I have experience with finetuning gen AI tools, RAG, using copilot to enhance code. I worked with a company to develop a virtual assistant using gpt 3.5 and pincone with the help of langchain using RAG I have worked on various data extraction and classification models. I work on Python and have worked with various libraries, Spacy, scikit learn, pandas, numpy being a few. I have been working remotely for the last 5 years so I am familiar with working on projects on remote servers and version control through git. I have a Masters Degree in Computer Science from the University of Southern California.

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 | Salesforce 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

I build production-ready AI systems that ship and stick, not prototypes. Most recently: sole engineer behind a government AI platform for large-scale media monitoring and decision support. Built from scratch in 8 months, deployed in production, used by senior leadership for real-time insights across an entire country. Previously built GenAI tooling at Fujitsu and ML systems for large-scale resource allocation. What I build: AI automation that cuts manual work and operational costs LLM-powered monitoring, classification, and insight systems End-to-end products: Next.js + Python/FastAPI, built to scale Reliable architectures: Redis, BullMQ, Postgres, AWS What working with me looks like: Fast turnaround, US time overlap when needed Production-quality code, built to scale, not break Full ownership: idea → deployed system I care about outcomes, not just shipping features If you need AI that actually works in the real world, let's talk.

Hi myself aman kumar, A graduate of IIT Kharagpur and Top rated at Upwork, I am a skilled Data Scientist and AI / ML / LLM / GenAI Engineer with multiple years of experience, I've successfully contributed to startups, building scalable software solutions. As a graduate of IIT Kharagpur, I bring a solid academic foundation to my practical skills. My background includes impactful projects in Natural Language Processing , Computer Vision and Time-Series Analysis, demonstrating a deep understanding of complex data domains. With a network of skilled engineers, our project is uniquely positioned for success, marked by innovation, reliability, and impactful outcomes. I am proficient in: ✅ Data Science , Machine Learning and Deep Learning: ● Classification and Regression tasks ● Unsupervised tasks (Clustering , Association ...) ✅ n8n & Intelligent Workflow Automation ● End-to-End Workflow Automation (CRM, Marketing, Support, Data ETL) ● Integration with AI Models, APIs, Webhooks & Databases ● Event-Driven Automation: Triggering AI tasks in response to data changes ● Custom Automations: Data prep, Alerts, Reporting, Scheduling, Slack/Email ● Orchestration of complex business logic using n8n nodes & JavaScript Tech Stack: n8n, JavaScript, REST/GraphQL APIs, Postgres, Airtable, Slack/Email/S3, Webhooks ✅ Time-series prediction ● Time Series Analysis (ARIMA, SARIMA, Prophet ...) ● Time Series Forecasting (Single Step , Multi-Step forecasting) ● Time Series Classification ● Hierarchical Time Series Forecasting ● Demand Forecasting using ML regression models (LightGBM, Random Forest, XGBoost ...) ✅ Natural Language Processing (NLP) and LLMs: ● Text classification (including Sentiment Analysis, Aspect-Based Sentiment Analysis) ● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc) ● Chat-Bots (Deep Learning or Rule-Based chat-bots for various domains) ● LLM Fine-Tuning: Expertise in fine-tuning LLMs (large language models) like GPT-3, GPT-4, Llama, T5 etc for specific tasks and domains, leveraging transfer learning to improve model performance on niche datasets. ✅ Computer Vision (CV): ● Image Classification ● Object Detection (YoLo) ● Instance segmentation / Semantic Segmentation (Mask R-CNN) ● Optical Character Recognition (OCR) 🎓 Advanced proficiency in the following domains, ✦ Model Deployment ✦ Model Training ✦ Model Fine-tuning ✦ Knowledge Extraction ✦ Ad Hoc Structured Data Query ✦ AI Voice/Speech Agents ✦ RAG Enhancement ✦ Generative AI / Gen AI ✦ Prompt Engineering ✦ Long Term Memory and Continual Learning ✦ Performance Analysis ✦ LLM Evaluation ✅ Full-Stack Development: ● Backend (FastAPI, Flask, Django, django-rest-framework, Node.js, JavaScript, PHP, Yii Framework) ● Frontend (Vue.js, React.js) ● WordPress ● CI/CD (Docker, docker-compose, Kubernetes, k8s, Ansible, Terraform) ● Databases (PostgreSQL, MySql, MongoDB, OracleDB, ArangoDB, ClickHouse, GraphDB) ● AMQ (Celery, RabbitMQ) 💼 Some mainstream industries and business domains that I have worked with, ✦ CRMs ✦ Healthcare ✦ Operations ✦ Education, Edtech ✦ Legal (Regulation, Compliance) ✦ Real Estate ✦ Retail & E-commerce ✦ Travelling and Hospitality Frameworks: SpaCy, HuggingFace, Transformers, NLTK,LangChain, PyTorch, TensorFlow, Keras, DarkNet, Detectron, Detectron2, Fast.ai Annotation platforms: Doccano, ProdiGy, Clarifai, CVAT, Clarifai Architectures: BERT, LongFormer, GPT-3, RAG, GPT-4, GPT-4o Domains: MedTech, E-Commerce, HRM, AD-tech, Medical Imaging, CCTV (surveillance), NFT, LegalTech (document analysis) Technical skills: Python, Javascript, Go, Java, Spring Boot, Gradle, Node.js, react.js, react native, Android Studio, ios app developer, swift, Angular, Tensorflow, Keras, NumPy, Serverless Frameworks, Docker, Terraform, Ansible, Kubernetes, Jenkins, Spinnaker, GitOps, DataOps, AWS. GCP, Azure, JAMstack, GraphQL, MEAN Stack, React, Redux, ES6, Express, MongoDB, Redis, Linux, Etcd, Consul, Kinesis, Redshift, DynamoDB, Spark, Hadoop, Kafka, PostgreSQL, MySQL, ELK, Sass, Webpack, Gulp, Git, Ethereum, Solidity, OpenZeppelin, Truffle, Flask, Django, MCP , Teradata MCp, Flowise, n8n. Key Highlights: ⭐️ Available 7 days a week ⭐️ Fluent in English ⭐️ Fast response time ⭐️ Give updates daily ⭐️ Long-term project support ⭐️ Upwork Top Rated ⭐️ 100% Job Success Score Thanks for your consideration!