01 — Work
Production systems, open-source tools, and side projects
Production Retrieval-Augmented Generation platform serving 5,000+ users across multiple enterprise clients. Full pipeline — document ingestion, vector search, prompt engineering, and LLM orchestration.
5,000+ users82% faster retrievalProduction scale
Multi-tenant platform for deploying autonomous AI agents across enterprise use cases. Isolated agent workflows, tool registries, and observability dashboards per tenant.
12+ deployments99.5% uptimeMulti-tenant
Automated QA system using LLMs to validate AI-generated content at scale. Reduced manual review effort and caught critical errors before production.
$600K+ savingsAutomated QAProduction
02 — Skills
Core competencies across AI/ML, infrastructure, and software engineering
LLMs & Generative AI RAG Systems Agentic AI NLP / NLU ML Pipelines Prompt Engineering Fine-tuning Evaluation & QA
LangChain LlamaIndex OpenAI API Hugging Face PyTorch scikit-learn MLflow Weights & Biases
AWS Azure GCP Kubernetes Docker Terraform CI/CD Vector Databases
Python TypeScript SQL Bash FastAPI Astro React Node.js
03 — Timeline
Career milestones and key experiences
2024 - present
work
2023 - present
work
Building production Generative AI and LLM powered systems: enterprise RAG platforms, multi-tenant agentic AI architectures, and AI quality assurance systems at scale.
2020 — 2024
study
Major in Artificial Intelligence and Machine Learning
04 — Speaking
Conferences, workshops, and guest lectures
GIDS (Great International Developer Summit) — 2024
Shared lessons from building enterprise-grade RAG systems — covering retrieval strategies, chunking approaches, evaluation, and production deployment patterns.
XConf by Thoughtworks — 2024
Explored the landscape of agentic AI architectures, tool-use patterns, and how to build reliable autonomous systems for enterprise use cases.
University Guest Lecture — 2023
Delivered a guest lecture on applied machine learning, covering the gap between academic ML and production-grade ML systems.
Internal Training — 2023
Designed and led a multi-session workshop introducing generative AI concepts, LLM fundamentals, and hands-on prompt engineering to engineering teams.
05 — Open Source
Public repositories and side projects
ML Experiment Toolkit — experiment tracking & deployment automation
Multimodal emotion detection from speech and text
Music genre classification using deep learning
Generative music composition with neural networks
06 — Writing
Writing about ML, mathematics, AI systems, and technology