Hey there! I'm Henil and I'm a
Machine Learning Engineer from Boston, MA.
While I am coding since 18 years of age, I've learned more from breaking things in production than from any tutorial. I build AI that actually works in the real world and solve real problems.
About me
My journey into ML started in an unexpected place, I was preparing an autonomous car for an electric vehicle competition during my undergrad in Electronics and Communication Engineering. As team captain, I dove headfirst into computer vision and machine learning, and honestly, I was hooked. That curiosity led me to join Hyperlab as a Founding ML Engineer, where we built an ML-driven sports analytics app that got us featured on Shark Tank India - easily one of the proudest moments of my life. But more than the spotlight, Hyperlab taught me how to ship products people actually use, close deals, optimize under constraints, and build fast.
I moved to the US to deepen my expertise in Data Science at Northeastern, and the GenAI boom happened. Since then, I've been laser-focused on agentic AI, RAG, LLM fine-tuning, and production systems. Through three co-ops at Waters Corporation, Edlight, and ImpacterAI, I've built chatbots, optimized inference, and automated LLM evaluations. I've learned that great ML engineering isn't just about knowing the frameworks - it's about making smart tradeoffs, asking hard questions, and building systems that scale under real-world pressure.
Now wrapping up my MS in Data Science (4.0 GPA, Dec 2025), I'm actively seeking full-time ML Engineer roles where I can continue building production AI that makes an impact.
My Toolbox
Languages
Python, SQL, Git, Bash, CUDA, Swift, TypeScript, C++, HTML/CSS
AI - Claude Code, Cursor, Codex, Muse
Frameworks
Deep Learning - PyTorch, TensorFlow, Keras, JAX
Generative AI - Transformers, LangGraph, LangChain, CrewAI, Hugging Face
Traditional ML - Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn, NLTK
Computer Vision - OpenCV, MediaPipe, Albumentations, YOLO
Train, Eval & Infer
Training - LoRA, QLoRA, DeepSpeed Zero, Ray, Pytorch FSDP
Evaluation - MLFlow, WandB, DeepEval, RAGAS
Inference - vLLM, MLX, Diffusers, Ollama, Groq, Baseten
Databases
Big Data - Apache Spark, Hadoop, Hive, Databricks
RDBMS/NoSQL - PostreSQL, MySQL, MongoDB, Firebase, Redis
VectorDB - ChromaDB, Pinecone, Weaviate, Datastax AstraDB
Cloud
AWS - Lambda, EC2, S3, Sagemaker, DynamoDB, OpenSearch, Bedrock, Glue
GCP - Cloud Run, Cloud Storage, Firebase, Cloud SQL, VertexAI, BigQuery
Azure - AzureML, Azure OpenAI, Azure Kubernetes Service, CosmosDB
Deploy & Web
Deploy - Docker, Github Actions, Kubernetes, CI/CD
Monitor - LangFuse, LangSmith, Datadog, AWS CloudWatch
Web - Streamlit, Flask, Django, FastAPI
Hardware & EDA
SystemVerilog, VHDL, Verilog, UVM, Embedded C, Quartus, ModelSim, STM32, Keil uVision, PCB Design
