Hire the Best Machine Learning Engineers in Bengaluru, IN

🚀 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 primarily work on four types of projects: 1) Crafting your AI Strategy Expand your business vision with the latest tools and frameworks. Teach me about your industry, and I'll steer your AI journey from discovery through deployment—identifying opportunities, crafting your roadmap, and shaping a data-driven strategy that delivers measurable impact. 2) Automation and Intelligent Workflows Transform time-sensitive, repetitive tasks into streamlined, AI-powered workflows—from lead validation and customer onboarding to compiling accurate, visually compelling reports and advanced analytics. I help boost efficiency, reduce manual effort, and scale your operations. 3) Conversational bots and Multi-Agent Systems Engage users and help employees with text and audio based conversations. Whether for customer service, data scientists on top of internal DBs and training material, or compliance-based communication, our solutions act autonomously and collaborate seamlessly to get things done. 4) AI-Assisted Full Stack Development Our team is trained to use AI judiciously during every stage of development. Vibe coding can go horribly wrong when in the hands of the uninitiated, but when you combine tools like Cursor with our engineering expertise, you get reliable new products and services faster than has ever been possible. My portfolio has more examples, but in short, if you're looking to build specialized agents to perform enterprise-ready tasks, you'd be hard-pressed to find a more qualified developer anywhere on Upwork. I'll be applying as an organization - krazimo (krazimo.com), so you'll get two world-class engineers (Mridul and I) working on your project, as well as a number of junior engineers to perform the smaller engineering tasks. You'll have full transparency into who's doing what, and our junior engineers work for approximately 2/3 our hourly rate. Here's a little about my 11 years of experience. Google (2019-2025) I spent six years as a senior software engineer at Google. My two major projects currently were Admin AI Assistant: I'm worked as an LLM specialist on building a RAG solution to improve Google's customer service in our workspace Admin Console. Gemini Reporting: Led a team of 10 people in building a large scale pipeline that can handle high QPS events on Gemini usage and report on value and RoI for our Gemini Product in Google Workspace. Apart from these, I have designed, implemented and shipped many technically complex products at Google. They often involved coordinating efforts among large teams and always required me to adhere to the highest engineering standards. I hope I can bring this expertise to your company. NLP Engineer (2016-2019) Cofounded, Headed AI and built the prototype and MVP for Butter.ai, which raised $3M in seed funding and was eventually acquired by Box. Worked on sentiment analysis problems for psychiatric chat centers (analysis user messages to flag dangerous situations) Worked on text extraction and question answering problems for a company that helped health insurance providers answer complex questions related to a customer's coverage. Mobile Engineer (2013-2015) Worked on a number of apps for clients - including building the cleartax.in android application. Worked at IBM as a software engineer on a MDM product that involved core android development (very low level control of services and permissions). At the moment, this process is more about exploring the space and seeing what people are looking for in the world of AI, outside massive AI-centric companies like Google (my hourly rate is actually below my current salary, so you're getting a pretty great deal while I perform this exploration)!

I build production AI agents and LLM systems. 50+ projects across fintech, healthcare, media, legal tech, climate tech, and research: multi-agent systems, agent harnesses, evaluation systems for agentic workflows, Claude Code, Claude Agent SDK, OpenAI Codex, Hermes, Openclaw, MCP servers, RAG at scale, fine-tuning, and document AI. 7+ years shipping ML and AI in production. $700K+ delivered. Expert-Vetted (top 1%). 100% Job Success Score. I’m not new to ML. Before the LLM wave I spent years building classical ML and NLP systems in Python: search engines, recommendation engines, entity extraction, knowledge graphs, and predictive models. That foundation means I know when a problem needs an LLM and when it doesn’t. I’ve also cofounded two startups, so I think about business outcomes, not just model accuracy. Recent work: - N1 Healthcare: Led the Report Generation team on a medical AI platform. Built the agent harness that dispatches 13+ clinical report workflows across Claude Agent SDK, OpenAI Agents SDK, and Agno through a LiteLLM gateway, with a planner coordinating 20+ specialty agents. Report cost went from roughly $80 to $15-25 per run. Also worked on the upstream medical record parsing pipeline. - Newsweek (4+ years): 15+ AI applications and 6 Azure Function Apps used daily by non-technical editors. Cosmos DB vector search with Reciprocal Rank Fusion hybrid ranking on 3072-dim embeddings, MCP servers exposing agent tools to Copilot Studio, automated article-to-video pipeline at 95%+ success. A live 30-day window measured 497 editorial hours saved at 15.8% AI adoption. Trained editorial staff to run the systems without developer support. - Stratifi: Built the AI layer on a Django + Postgres backend. Dual-LLM PDF extractor (GPT-4o + Gemini) at 95%+ accuracy on 50+ page brokerage statements, 10-30 positions/second, with a 24-document eval harness gating prompt changes. Multi-agent financial chatbot routing across 4 market data sources, plus a 4-layer portfolio optimization agent and a Lambda support agent with tool calling. Elasticsearch hybrid search over millions of securities. - CGIAR: Research impact assessment processing 9,166+ records with 6 fine-tuned GPT-4o-mini variants, GPU-accelerated PDF layout detection with Detectron2, 3-tier evidence extraction at 50 concurrent operations. - Adoro: 7-stage AI automation pipeline for marketing, turning a week-long manual process into under an hour, processing 100K+ items per run with 3-pass LLM extraction (initial, reflection, self-reflection). - ClimateX: Web crawling and location intelligence pipeline with Flair NER for entity extraction, dual geocoding APIs, and proximity-based deduplication. - Accelchain: Smart contract vulnerability detection covering 37 SWC vulnerability types with vector-DB retrieval over 33,488 known patterns, RAG plus few-shot plus Chain of Thought for explainable remediation. - SynMax: NLP pipeline processing 400,000+ historical records with LongT5 fine-tuned at 16K context, 16-category document classification, cross-document entity linking across court records, deeds, and financial documents. - Epitome (cofounded): HR Tech B2B2C platform with custom Word2Vec on millions of LinkedIn profiles, ArangoDB knowledge graph modeling O*NET across 20+ edge collections, entity resolution cascade (exact, fuzzy, embedding, LLM), Elasticsearch candidate search, 40+ REST endpoints. Core capabilities: AI Agents and Orchestration, Agent Harnesses, Agent Evals, Multi-Agent Systems, Claude Agent SDK, MCP, LLM Fine-Tuning and Post-Training, RAG and Hybrid Retrieval, Document AI and OCR, Production ML and Forecasting, NLP and Knowledge Graphs, Data Pipelines and ETL, Cloud Infrastructure, and API Development.

Hi I've spent 6+ years building production GenAI systems that solve real business problems not demos that impress in meetings and fail under load. From multi-agent pipelines coordinating 10+ specialized agents to RAG systems delivering 95%+ accuracy, I build AI that works with real users, real data, and real constraints. I ship fast working versions in weeks, not months. Production-ready systems that scale. With 20+ projects across 10 industries, I've seen what works and what doesn't. When you speak with me, you'll notice the difference. I understand your domain, anticipate edge cases, and design pipelines customized to your specific needs. No cookie-cutter solutions. I handle everything end-to-end: architecture, backend, AI/ML pipelines, deployment, and ongoing support. You get a complete working system—not a handoff that leaves you stranded. Track Record → Top Rated Plus (Top 1% on Upwork) → 100% Job Success Score | 5-Star Reviews Only → 20+ Production Systems | 10+ Industries | Global Clients Results From Recent Projects → Deep Market Research Automation — AI agents generating comprehensive market intelligence reports. 99% cost reduction ($1000s → $10s per report), turnaround from weeks to minutes. → Database Intelligence Agent — Natural language querying across 1,000+ tables and millions of rows. 95%+ accuracy. Days → minutes. Used daily by enterprise clients. → Supply Chain Automation — 15-agent procurement system: shortage detection, supplier negotiation, PO generation, inventory management. 80% reduction in manual effort. → Visual Inspection AI — Automated equipment installation validation using vision models. 95% accuracy, eliminating manual inspection overhead entirely. → Interview Automation Platform — AI interviewer with real-time speech analysis. 80% time reduction (45→10 min). Scaled to 1,000+ concurrent sessions. → Voice AI Platform — Unified ASR/TTS/LLM across 5 dialects. 95% accuracy. Sub-2s response. 40% cost reduction. → Real Estate Investment Advisor — Conversational AI for investor profiling and ROI calculations. 87% projection accuracy. 60% time reduction. → Omnichannel Lead Platform — AI agent across SMS, WhatsApp, Email, Voice. <2 min response time. 25% improvement in lead qualification accuracy. What I Build Multi-Agent Systems — Orchestrated AI agents handling complex workflows autonomously. State management, error recovery, human oversight, and domain customization built in. RAG & Knowledge Systems — Semantic chunking, hybrid search, GraphRAG, re-ranking, hallucination elimination. 94-95%+ accuracy at enterprise scale. Voice & Conversational AI — Real-time speech processing, multi-dialect support, context-aware conversations for customer service, screening, and specialized domains. Enterprise Data Intelligence — Natural language interfaces to Postgres, Snowflake, Redshift, Databricks. Automated reporting and analytics. Research & Market Intelligence — AI agents that gather, synthesize, and generate comprehensive reports autonomously. Computer Vision — Visual inspection, document analysis, image classification replacing manual review processes. Workflow Automation — n8n-powered automation, email processing, content generation, lead scoring, document review, repetitive task elimination. Technical Stack LLMs: OpenAI, Claude, Gemini, DeepSeek, LLaMA, Mistral, AWS Bedrock, Groq Agents: LangChain, LangGraph, LangSmith, LlamaIndex, AutoGen, Google ADK, CrewAI RAG: FAISS, ChromaDB, Pinecone, pgvector, Weaviate, Qdrant, Milvus, GraphRAG Voice: Whisper, Azure TTS, ElevenLabs, Deepgram, AssemblyAI Backend: Python, FastAPI, Django, Flask, Redis, Celery Databases: PostgreSQL, MySQL, MSSQL, MongoDB, Neo4j, Snowflake, Databricks, DynamoDB Cloud: AWS (ECS, Bedrock, Lambda, SageMaker), Azure, GCP DevOps: Docker, Kubernetes, GitHub Actions, CI/CD, Terraform Industries: Finance | Healthcare | FMCG | EdTech | Real Estate | Media | Pharma | Enterprise SaaS | Recruitment | Supply Chain | Legal | E-commerce Working With Me → Free 30-min discovery call — Map out requirements and identify highest-impact AI opportunities. Honest assessment of what's realistic and where the biggest wins are. → End-to-end ownership — Architecture, backend, AI pipelines, deployment, monitoring, and post-launch support. Complete production-ready system, not a handoff. → Fast, iterative delivery — Working versions in weeks. Regular demos. Quick iterations based on your feedback until it's exactly right. → Built for production — Observability, error handling, cost tracking, reliability testing all baked in. My systems don't fail in production. → Clear communication — Weekly updates, recorded demos, documentation. Always know exactly where your project stands. Ready to build AI that actually works in production? Send me a message.

I'm Antik Patel your go-to Generative AI Architect… I build production-grade AI agents, RAG pipelines, Automation and multi-agent systems that enterprises actually deploy not proof-of-concept demos that die in a notebook. My AI voice agent handles Tier-1 support for a multimillion-dollar call center (38% faster handle times), and my multi-agent LLM framework powers real-time portfolio intelligence for financial firms. Top Rated Plus (top 3%) · 100% Job Success · Trusted by Twitter, Bank of Montreal, and Fortune 500 companies. ⸻ What I Build: ◾ LLM Agents & Multi-Agent Systems — Autonomous AI agents that research, reason, and take action. I architect multi-agent workflows using LangChain, LangGraph, and CrewAI where specialized agents collaborate to handle complex business processes end-to-end. ◾ Production RAG Pipelines — Not basic "chat with PDF." I build enterprise RAG with hybrid search, re-ranking, citation tracking, and evaluation dashboards — so your system retrieves accurately, cites sources, and improves over time. ◾ Voice AI Agents — Real-time conversational agents for call centers and customer service. STT → LLM reasoning → function calling → TTS — with graceful human handoff and sub-second latency. ◾ LLM Fine-Tuning & Deployment — Fine-tuned GPT-4, LLaMA 3, Mistral, and Falcon using LoRA/QLoRA adapters for domain-specific tasks: legal contracts, compliance reports, medical triage, and financial analysis. I handle training, quantization, and scalable serving. ◾ AI-Powered Creative & Vision Systems — Stable Diffusion & Flux fine-tuning for on-brand avatar generation, one-click ad creatives, and virtual try-on — all production-deployed, not playground experiments. ⸻ Why My AI Systems Actually Work in Production: Before building LLM agents, I spent years as an ML engineer designing production ML pipelines — custom model monitoring on GCP Vertex AI, Kubeflow-based training infrastructure, and ensemble methods for enterprise clients. When I build a RAG pipeline, I understand embeddings, retrieval architecture, re-ranking algorithms, and the infrastructure to serve it at 10,000 queries/day with monitoring. That's the difference between a chatbot that demos well and one that runs your business. M.Tech in AI (IIT Jodhpur) · Former AI Company Founder · 7+ years building ML systems at scale. ⸻ Recent Impact: → Built a real-time voice agent that reduced call center handle time by 38% → Deployed a multi-agent LLM suite for real-time stock insights and portfolio optimization → Created a "personal data scientist" platform — non-technical users upload data, chat in English, and trigger ML models with a single prompt → Launched an Avatar Studio (Flux LoRA fine-tuning) delivering photoreal brand avatars — zero photoshoots → Shipped a one-click ad generator that converts product shots into brand-safe creatives instantly ⸻ Core Tech Stack: LLMs: GPT, LLaMA , Mistral, Claude, Gemini Pro, Falcon, Nano Banana Pro Agents: OpenClaw, Claude code ,LangChain, LangGraph, CrewAI, AutoGen, OpenAI Function Calling RAG: Pinecone, ChromaDB, Weaviate, pgvector, LlamaIndex, Hybrid Search, RAGAS Fine-Tuning: LoRA, QLoRA, PEFT, Hugging Face, vLLM , Open Source LLMs Vision/Creative: Stable Diffusion, Flux, ControlNet, DreamBooth Infra: AWS Bedrock, GCP Vertex AI, FastAPI, Docker, Kubeflow ⸻ ✅ Outcome-First — Every model ships with benchmarks, cost analysis, and a clear path to production. ✅ Transparent & Fast — Weekly demos, crisp communication, and timelines you can set your watch to. ✅ Deep Architecture Knowledge — I don't wrap APIs. I understand transformers, attention mechanisms, and embedding spaces from the ground up. Ready to deploy AI that actually moves the needle? Let's hop on a quick scoping call — I'll tell you what's feasible, what it costs, and how fast we can ship it.

With 11 years of total industry experience I have contributed and managed projects related to Computer vision and Machine learning applications as listed below: 1.) Object detection: i.) Counting application(YOLO algorithm) ii.) Location mapping of person for Intrusion detection and same for vehicles for Vehicle speed detection 2.) Image segmentation: i.) Temperature detection from stickers used by healthcare professionals. ii.) Blood smear and Radiology images analysis for malaria type and lung health detection respectively. 3.) Inventory tracking and detecting pick/place activity using camera+RaspberryPI5 based solution. 4.) Demand forecasting for production planning in Agricultural & Dairy sector using Time series forecasting as a part of Inventory & Resources planning. 5.) Data extraction from PDFs', OCR for document data extraction. The business areas in which the projects were implemented are Healthcare, FMCG, Dairy & Heavy engineering. I am proficient in handling projects independently and completing with desired accuracy . My range of expertise are: 1.) Algorithms for Data Science: Investment portfolio optimization & Trading signals(buy&sell) from backtesting. 2.) Computer vision: Image processing, Segmentation, Object detection, Classification using tensorflow/pytorch framework. 3.) Data Analysis: Data aggregation, metrics evaluation and building insights from .csv/.xlsx data using pandas library. 4.) Database management: SQL & MongoDB 5.) Machine learning models: Decision trees, Regression based methods like ARIMA and Logistic Regression.