Headline

ML & Agentic AI Engineer | Ex-AWS Bedrock | LLMs · RAG · LangGraph · Multi-Agent Systems | PyTorch · TensorFlow | Production GenAI Evaluation & Multimodal Pipelines | Open to Bangalore & Global Roles

About

I build AI systems that survive contact with production. For the last 3 years I've worked where a promising model becomes a dependable product: agentic workflows, RAG pipelines, and multimodal ML platforms — most recently on AWS Bedrock in Bangalore. At AWS I: • Engineered ETL pipelines for multimodal LLM training (text, image, audio, video) across 5+ concurrent enterprise projects • Built multi-step reasoning agents with LangGraph and LangChain — tool-calling, contextual-chunking RAG, SPARQL knowledge graphs • Fine-tuned LLMs (SLMs, LRMs) in PyTorch/TensorFlow and designed the QA frameworks (LLM-as-judge, BLEU, ROUGE, BERTScore) that decide whether a model ships • Enabled 40% faster data-driven decisions with real-time Streamlit monitoring dashboards • Productionized everything: Docker, Flask REST APIs, CI/CD, observability, runbooks Before AI engineering: large-scale market research at Ayvole (4,000+ startups across 8 sectors for Outlook Business) and operational data at BPCL — where I learned the hard part is rarely the model. It's the pipeline, the evaluation, and the decision it supports. Currently building autonomous agents that reason, act, and self-correct. Open to ML / AI / Generative AI Engineer roles — Bangalore and globally. 🌐 Portfolio: zeeshan-portfolio-chi.vercel.app 🤖 Live RAG bot: t.me/zeeshan_rag_bot 📅 Book a call: calendly.com/zshnreza

Location

Bengaluru

AI stack

anthropic apis

claude code

codex

cursor

gemini

github copilot

Work experience

ML Data Associate II (Generative AI Engineer) at Amazon Web Services (AWS), Nov 2024 - Mar 2026 · 1 yr 5 mos, Bengaluru, • Engineered multimodal ETL pipelines on AWS Bedrock — processing text, image, audio, and video — to power foundation model training across 5+ concurrent enterprise projects, reducing data ingestion failures and improving pipeline reliability. • Built production-grade multi-agent AI systems (LangGraph, LangChain) with multi-step reasoning, tool-calling pipelines, and contextual-chunking RAG workflows integrated with SPARQL-based knowledge graphs — deployed and monitored at enterprise scale. • Designed and maintained AI evaluation frameworks (LLM-as-judge, BLEU, ROUGE, BERTScore) to measure hallucination, groundedness, and safety across fine-tuned LLMs — ensuring production-ready model quality before deployment on AWS Bedrock. • Enabled 40% faster data-driven decisions by delivering real-time Streamlit dashboards and pipeline health monitoring tools used daily by cross-functional enterprise teams across 5+ projects. • Productionised AI workflows end-to-end: containerised with Docker, deployed Flask REST APIs, and implemented CI/CD pipelines with full observability, alerting, and runbooks — meeting enterprise reliability and governance standards.

Marketing Research Intern at Ayvole, Jul 2023 - Nov 2023 · 5 mos, Designing and executing qualitative and quantitative market research studies, including focus groups, surveys, interviews, and field tests. • Analysing data using statistical software and techniques to identify trends, patterns, and relationships. • Summarizing research findings and creating data visualizations, presentations, and reports to communicate actionable insights. • Making recommendations for marketing, product development, and sales strategies based on research conclusions. • Monitoring industry trends, competitive landscape, and consumer behaviours through research studies. • Collaborating with cross-functional teams including product, sales, marketing to align research efforts to business goals. • Staying up-to-date on market research methodologies and data analytics best practices. • Identifying opportunities to improve existing products and services based on voice of customer data. • Presenting research results to key stakeholders across the organization. • Managing multiple research projects simultaneously from conception through delivery.

Market Research Analyst at Ayvole, Jun 2023 - Nov 2024 · 1 yr 6 mos, • Designed end-to-end data collection and analytics pipelines, aggregating structured datasets from 100+ sources into query-ready research datasets. • Supported large-scale research analysing 4,000+ startups across 8 sectors for Outlook Business - Start-Up Outperformers 2023. • Conducted market research and gap analysis, translating statistical findings into business recommendations and visual presentations for senior stakeholders. • Drove three new media product launches, contributing to a 30% increase in market share across client engagements. • Tools: Python, SQL, Alteryx, Power BI, Tableau, Excel.

Trainee at Bharat Petroleum Corporation Limited, May 2020 - May 2021 · 1 yr 1 mo, Kolkata, Play a key role in production, Engineering & Maintenance, Logistics, Packaging & Dispatch and manufacturing. processes for new products. Manage Supply chain of Logistics. Worked with journeymen to complete daily tasks. Assisted in the installation of new equipment. Helped to troubleshoot issues with existing machinery.

Education

Bachelor of Technology - BTech, Electrical and Electronics Engineering, Swami Vivekananda Institute of Science and Technology

Diploma engineering, Electrical and Electronics Engineering, SHREE RAMAKRISHNA INSTITUTE OF SCIENCE AND TECHNOLOGY