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I’m an AI Engineer with 7+ years of experience building, training, and deploying machine learning solutions that solve real business problems. I help clients turn data and product ideas into production-ready AI systems, with a strong focus on LLM applications, chatbot development, predictive modeling, computer vision, and deployment workflows. My core stack includes Python, TensorFlow, PyTorch, Keras, Hugging Face, LangChain, OpenAI API, Llama, Anthropic, Mistral, NumPy, Pandas, and modern MLOps/CI/CD practices. I’ve worked on projects such as customer support chatbots, stock market forecasting tools, face mask detection systems, and AI-powered applications that improve efficiency and user experience. What clients get when working with me: - Clean, scalable AI solutions built for production - Fast implementation with strong engineering practices - Clear communication and reliable delivery - Models and workflows designed for real-world performance Whether you need an LLM-powered assistant, a machine learning model, or help deploying AI into your product, I can help from prototype to production. Let’s discuss your goals and build the right solution.

🥇 Top 3% AWS Expert on Upwork | AWS Advanced Tier Services Partner | Certified Solutions Architect I help startups and enterprises design, migrate, and optimize secure, scalable AWS infrastructure. 10+ years delivering cloud architecture, zero-downtime migrations, DevOps automation, and cost optimization for telecom, SaaS, fintech, and enterprise platforms handling millions of users. What I Do: ☁️ AWS Cloud Architecture – Landing Zone design, secure 3-tier architecture, multi-account strategy, high availability, disaster recovery, network design (VPC, Route53, CloudFront) 🚀 AWS Migration – Data center to AWS, multi-cloud strategy, phased migrations, zero-downtime cutover, lift-and-shift, refactor, re-platform approaches ⚙️ DevOps & Automation – Terraform IaC, CloudFormation, CI/CD pipelines (GitHub Actions, CodePipeline, Jenkins), EKS/ECS, Docker, Kubernetes, infrastructure automation 💰 AWS Cost Optimization – Right-sizing analysis, Reserved Instances, Savings Plans, FinOps implementation, cost anomaly detection, cloud billing analysis (25-40% savings achieved) 🔐 Security & Compliance – IAM hardening, least-privilege access, VPC security, WAF/Shield, encryption (KMS), SOC 2, HIPAA, PCI-DSS compliance on AWS 🤖 Serverless & AI – Lambda, API Gateway, Bedrock, SageMaker, event-driven architectures, real-time analytics AWS Services Expertise: EC2, S3, RDS, Aurora, Lambda, API Gateway, DynamoDB, ECS, EKS, CloudFront, Route53, VPC, IAM, CloudWatch, CloudTrail, Glue, Kinesis, SageMaker, Bedrock, WAF, KMS, Terraform, Docker Proven Results: ✔ Reduced AWS costs by 35% for telecom infrastructure migration ✔ Optimized video platform infra saving $7K/month in CDN + storage ✔ Migrated 20+ production workloads with zero downtime ✔ Designed secure, compliant AWS architecture for enterprise deployments ✔ Built automated DevOps pipelines reducing deployment time by 70% Why Hire Me: ⭐ Deep AWS expertise (Advanced Tier Partner certified) ⭐ Hands-on experience with enterprise workloads ⭐ Security-first architecture by design ⭐ Cost-conscious optimization without sacrificing performance ⭐ Clear architecture documentation + ongoing support ⭐ Business-focused – align cloud solutions with business goals Services: AWS architecture design, migration planning, cost optimization audit, landing zone setup, DevOps automation, infrastructure security review, compliance implementation, disaster recovery planning. Need AWS architecture advice, migration strategy, or cost optimization? Message me for a quick audit + architecture recommendation call.

20+ production AI systems shipped across consumer brands, Industrial manufacturing, high growth SAAS, HRTEch. Not prototypes. Real systems running 24/7 with measurable ROI. ➜ Enterprise AI systems using Python, Microsoft Graph, Entra ID, Azure OpenAI, RAG, vector databases, and secure API integrations with authentication and authorization. ➜ Production multi-agent architectures with tool calling, evaluation, guardrails, human-in-the-loop review, logging, monitoring, and maintainable backend engineering. I am a 𝐋𝐞𝐚𝐝 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 10+ 𝐲𝐞𝐚𝐫𝐬 of experience across 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐋𝐋𝐌𝐬, 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬, and production AI engineering. Clients rely on me to build 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬- not just demos or API wrappers. My focus on reliability, scalability, security, and measurable business outcomes has helped me maintain 𝟏𝟎𝟎% 𝟓-𝐬𝐭𝐚𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐬 with no negative feedback on Upwork, a track record rarely seen among freelancers with a comparable volume of completed work. I can develop a complete 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭- from solution architecture and model development to backend, frontend, cloud deployment, monitoring, and scaling- or integrate an AI solution directly into your existing applications and business workflows. 🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ➜ Agentic AI systems using LangGraph, AutoGen, CrewAI, and custom orchestration frameworks ➜ Multi-agent workflows, tool calling, memory, planning, human-in-the-loop, and autonomous task execution ➜ Custom AI chatbots and copilots using OpenAI, Claude, AWS Bedrock, Llama, Mistral, and Qwen ➜ RAG pipelines, semantic search, hybrid retrieval, reranking, vector databases, and knowledge assistants ➜ Document intelligence, natural-language-to-SQL, structured data extraction, and workflow automation ➜ LLM evaluation, guardrails, prompt engineering, structured outputs, and hallucination reduction 🎙️ 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 ➜ Built and productionized multiple real-time AI voice agents using 𝐋𝐢𝐯𝐞𝐊𝐢𝐭 ➜ AI voice receptionists, customer support agents, sales agents, appointment-booking agents, and voice assistants ➜ Low-latency speech-to-speech conversations, natural turn-taking, interruption handling, and voice activity detection ➜ Function calling, call routing, telephony integration, human handoff, and workflow automation ➜ Integration with STT, TTS, LLMs, APIs, CRMs, databases, and enterprise knowledge bases ➜ LiveKit Agents, Deepgram, OpenAI Realtime, ElevenLabs, Amazon Polly, Claude, and AWS Bedrock 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 ➜ Predictive modelling, classification, regression, clustering, and anomaly detection ➜ Time-series forecasting, demand forecasting, customer segmentation, and churn prediction ➜ Recommendation engines, ranking systems, personalization, and similarity matching ➜ Sentiment analysis, text classification, topic modelling, summarization, and information extraction ➜ Computer vision, object detection, image classification, motion tracking, and scene recognition ➜ Feature engineering, model evaluation, explainable AI, experimentation, and MLOps 🧠 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 ➜ Fine-tuning LLMs for domain adaptation, Q&A, classification, extraction, legal, medical, and enterprise use cases ➜ Synthetic dataset generation, training-data preparation, and evaluation frameworks ➜ LoRA, QLoRA, supervised fine-tuning, and instruction tuning ➜ Production deployment using vLLM, Hugging Face, AWS, GCP, RunPod, Docker, and serverless infrastructure ☁️ 𝐀𝐖𝐒 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 ➜ AWS Bedrock, SageMaker, Lambda, API Gateway, ECS, ECR, S3, RDS, DynamoDB, and OpenSearch ➜ Secure, scalable, multi-tenant AI applications and data pipelines ➜ Python, FastAPI, PostgreSQL, Redis, MongoDB, and vector databases ➜ Monitoring, model evaluation, latency optimization, cost control, and production support Whether you need a complete 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭, an 𝐀𝐈 𝐜𝐨𝐩𝐢𝐥𝐨𝐭, a 𝐯𝐨𝐢𝐜𝐞 𝐚𝐠𝐞𝐧𝐭, a predictive ML system, or an AI capability integrated into your existing workflow, I can take it from idea to a secure, scalable, and production-ready solution.

I help businesses build AI agents, automate workflows and get AI features into production. I was part of the original AWS SageMaker launch team, and I built API.market, which processes over 100 million API calls per month. Bring me a manual process, an agent that keeps failing, or an AI product that needs to ship. I can help you work out what is worth building, design it, implement it and measure whether it improves the business outcome. WHAT I CAN HELP WITH - AI transformation: identify useful use cases, map your current process and define a practical first project with measurable success criteria. - AI agents and automation: connect tools and APIs, manage memory and context, add human approvals and handle failures. - Agent debugging and improvement: diagnose unreliable behavior, build regression checks and improve task completion, latency and cost. - Knowledge and document workflows: build RAG, extraction, validation and exception handling around your business information. - AWS and production engineering: design or review APIs, serverless systems, ML infrastructure, deployments and cloud costs. RELEVANT EXPERIENCE Noveum AI: I implemented a self-improving agent loop inspired by GEPA, a repair graph, agent memory and context management. My work also covers observability, debugging, testing and improvement workflows. API.market: I built the product and API platform, now processing over 100 million API calls per month. This includes API infrastructure, integrations and developer experience. AWS SageMaker: I was part of the original launch team and helped design, implement and launch Hyperparameter Optimization. I also reviewed public AWS APIs and maintained the AWS SDK for PHP. Amazon Prime Video: I helped build the infrastructure for a multi-armed bandit model trained every 15 minutes on global Amazon data. The personalized offer system contributed to 65,000 new annual subscriptions and $32 million in additional revenue. Levity: I led ML engineering for a no-code AI workflow automation product, covering architecture, infrastructure, hiring and mentoring. At Activeloop, I was Head of Engineering and then CTO, leading work across ML data infrastructure and product engineering. HOW WE START For an existing system, we can start with a focused architecture or workflow audit. For a new build, we agree one useful workflow, the data and integrations involved, and how we will test success before expanding the scope. You work directly with me on architecture and hands-on engineering. For larger projects, I can bring in The Geek Labs team with responsibilities agreed upfront. Send me the process you want to improve, the tools involved and the result you need. We can agree a sensible first step here on Upwork.

I build automation systems that keep running when nobody is watching them. Over five years my automation work has generated $7,700+ in annual cost savings, removed 3+ headcount of manual effort, and cut multi-hour recurring tasks down to minutes. Most automation breaks in the same three places: duplicate records, silent failures, and edge cases nobody tested. I design for those first - deduplication logic, retries, validation that flags exactly which field failed, and human review steps where the cost of being wrong is high. What I build • End-to-end workflow automation - lead capture through CRM, qualification, document generation, and follow-up • WhatsApp and messaging automation - conditional routing, notifications, scheduled reminders, owner dashboards • AI agents and multi-agent systems - LangChain, RAG pipelines, AWS Bedrock, Gemini, Google ADK • Document and data pipelines - PDF extraction, structured validation, low-confidence flagging, Excel and report generation • API integrations - REST APIs, webhooks, OAuth, and moving data cleanly between systems that were never designed to talk Recent work A WhatsApp review funnel that routes customers by rating - advocates to a public review page, unhappy customers to a private feedback form with instant owner alert. Built the routing logic, the rating page, and the real-time dashboard. A GST reconciliation tool for Indian SMBs: PDF invoice OCR, fuzzy column mapping across inconsistent vendor formats, and colour-coded Excel reports showing exactly which input tax credit is at risk. Test-covered, with low-confidence rows flagged for manual review rather than silently guessed. An AI troubleshooting bot on AWS Bedrock with a human-in-the-loop approval step before any action is taken. Stack Python, FastAPI, TypeScript, AWS (Bedrock, Lambda), Google Cloud, LangChain, ChromaDB, MCP, REST APIs, webhooks, OAuth, Streamlit, pandas. Background Five years at enterprise scale, including catalog and ML operations at Amazon across thousands of product listings - which is where I learned that automation is only useful if it handles the messy 10% of records, not the clean 90%. Fluent in English and German, native Hindi. Send me the problem and what "working" looks like, and I'll tell you honestly whether I'm the right fit before you spend anything.

I am an AI/ML Engineer specializing in Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and intelligent automation. My work focuses on designing and deploying production-ready AI solutions that combine state-of-the-art language models with scalable backend systems to solve real-world business problems. My expertise spans the complete AI development lifecycle, from data collection and preprocessing to model training, fine-tuning, evaluation, deployment, and monitoring. I have hands-on experience building AI-powered applications using OpenAI, Anthropic, Google Gemini, Llama, Qwen, Mistral, DeepSeek, Gemma, Phi, and other modern foundation models. I build custom AI assistants, enterprise chatbots, multi-agent systems, and RAG pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, and AutoGen. I work extensively with vector databases including Pinecone, ChromaDB, FAISS, Weaviate, Qdrant, and Milvus, implementing semantic search, hybrid search, reranking, and knowledge retrieval systems. My NLP expertise includes text classification, sentiment analysis, named entity recognition, summarization, question answering, topic modeling, information extraction, semantic similarity, document intelligence, and multilingual language understanding. I also have experience developing multimodal AI applications that combine text, images, and structured data. I am experienced in fine-tuning open-source LLMs using LoRA, QLoRA, PEFT, Hugging Face Transformers, TRL, and distributed training techniques. My work includes instruction tuning, domain adaptation, synthetic data generation, evaluation pipelines, and optimization for inference efficiency. Beyond LLMs, I have strong experience in classical machine learning, deep learning, computer vision, recommendation systems, time series forecasting, and predictive analytics using frameworks such as PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, and CatBoost. I also design scalable AI infrastructure and APIs using FastAPI, Docker, Kubernetes, Redis, PostgreSQL, MongoDB, Celery, WebSockets, and cloud platforms including AWS, Azure, and Google Cloud. My focus is on building reliable, secure, and production-ready AI systems that integrate seamlessly with existing business workflows. My recent work includes: * AI Agents capable of autonomous reasoning and tool usage. * Enterprise RAG systems with advanced retrieval, reranking, and citation support. * LLM-powered document processing and knowledge management platforms. * Recommendation engines and personalized AI applications. * Real-time AI systems with streaming inference and WebSocket communication. * Fine-tuning and deployment of open-source LLMs for domain-specific use cases. * End-to-end MLOps pipelines for model training, deployment, monitoring, and continuous improvement. I am also proficient in data engineering tasks including web scraping, data annotation, ETL pipelines, feature engineering, and working with large-scale structured and unstructured datasets. My research interests include LLM reasoning, multimodal AI, AI Agents, Retrieval-Augmented Generation, reinforcement learning, efficient model fine-tuning, and trustworthy AI. I continuously explore the latest advancements in Generative AI to deliver practical, scalable, and impactful AI solutions. Whether you need an intelligent AI assistant, an enterprise chatbot, a production-ready RAG system, an autonomous AI agent, custom model fine-tuning, or an end-to-end AI application, I can help transform your ideas into robust, high-performing solutions.