I'm Amulya. I design and build AI systems — the kind that go beyond a notebook and actually run in production. Right now I'm a Senior Software Engineer at HCLTech, where I shipped campaign systems reaching 20M+ users with zero critical failures during Black Friday. Before that, I was at Classplus breaking apart monoliths and building the data pipelines that powered their real-time dashboards.
What I'm most interested in right now is agentic AI. I've been building multi-agent systems where specialised AI agents coordinate to solve complex tasks — research, analysis, structured output generation. The agent orchestration space is still early, and there's a lot of interesting architecture work to do. I'm also deep in RAG pipeline design, where I've learned that 80% of retrieval quality comes from chunking and embedding decisions, not the vector store.
I'm doing my M.Tech in AI/ML at BITS Pilani alongside full-time work. The coursework in distributed systems and deep learning has been directly useful — understanding how these systems behave at scale changes how you design them. On my own time, I build everything end-to-end: from model training through FastAPI inference to Kubernetes deployment with Prometheus dashboards watching every request.
I'm looking for a role where I can own the architecture of AI systems, not just one layer of the stack. If you're building something with LLMs, agents, or production ML and need someone who thinks in systems, let's talk.
What I Build With
AI / ML
- PyTorch
- TensorFlow
- Transformers / Hugging Face
- scikit-learn
LLM / Agentic AI
- LangChain / LangGraph
- RAG Pipelines
- Vector DBs (Chroma, FAISS)
- Prompt Engineering
- Agent Orchestration
Backend / API
- Python
- FastAPI
- Node.js / Express
- REST APIs
- Pydantic
MLOps / Infra
- Docker / Kubernetes
- MLflow
- Prefect
- GitHub Actions CI/CD
- Prometheus / Grafana
Cloud / Data
- AWS (EC2, S3)
- PostgreSQL / MySQL
- Linux
- SQL / Pandas / NumPy
Academic Background
M.Tech in Artificial Intelligence & Machine Learning (WILP)
Birla Institute of Technology and Science (BITS), Pilani
Coursework: Distributed Systems, Deep Learning, Data Management for ML
M.Sc. General Studies (Data Science Minor)
Birla Institute of Technology and Science (BITS), Pilani
Professional Certifications
Prompt Engineering Level 3
Percipio · Advanced prompting patterns, multi-step reasoning, constraints, safety & evaluation
Generative AI Fundamentals
Percipio · LLMs, embeddings, tokenization, context windows, evaluation basics
AWS Cloud Practitioner
Percipio · IAM, EC2, S3, CloudWatch, Billing Explorer — Training completed, exam in progress