• 💼 Walnutech – Building secure AWS multi-account infra, deploying microservices, and scaling AI/ML pipelines.
• 🔬 MCaaS – Cloud-native research pipeline achieving up to 14× model size reduction and 3.4× faster inference.
• ⚙️ LLMOps – Serverless answering service on AWS with Langfuse observability & CI/CD auto-rollbacks.
• 🌐 Side Projects: ZipRide (ride-sharing app), VoyageAI (AI-driven travel planner).

Languages: Python, Go, JavaScript/TypeScript, C++, Java, Swift, SQL, Bash
Cloud & Infra: AWS (ECS, Lambda, Step Functions, S3, API GW, DynamoDB), GCP (GKE, Cloud Functions), Terraform, Docker, Kubernetes
Frameworks: FastAPI, Flask, React, Next.js, Node.js, Tailwind CSS
Databases: PostgreSQL, MongoDB, MySQL, Redis, Firebase
ML & MLOps: PyTorch, TensorFlow, LangChain, MLflow
Observability: Langfuse (OTel), CloudWatch, Sentry

Software Engineer @ Walnutech (2025 – Present)

• Secured AWS org with IAM Identity Center + SCP guardrails (0 admin creds).
• Deployed ECS Fargate microservices with ALB + autoscaling.
• Self-hosted Langfuse observability → cut RCA time by 70%.
• Tech: Terraform, AWS, GitHub Actions (OIDC), FastAPI, LangChain, OpenAI.

Cloud & ML Researcher @ VISA Lab (2024 – 2025)

• Built Model Compression as a Service (MCaaS) serverless pipeline (100+ runs/mo).
• Reduced model size 14× with <4% accuracy loss (pruning, quantization, distillation).
• Automated infra with Terraform + Docker (CI/CD ↓ 30→5 mins).

• LLMOps (Serverless LLM Service) → Terraform-first AWS pipeline, 3.2s cold start, p95 alerts.
• MCaaS (Model Compression as a Service) → Modular pipeline on AWS achieving 2–14× size reduction.

From: 08 August 2025 - To: 06 August 2026

Total Time: 346 hrs 26 mins

Markdown                   104 hrs 30 mins       >>>>>>>------------------   27.89 %
Python                     68 hrs 59 mins        >>>>>--------------------   18.41 %
TypeScript                 68 hrs 30 mins        >>>>>--------------------   18.28 %
Other                      28 hrs 17 mins        >>-----------------------   07.55 %
YAML                       21 hrs 15 mins        >------------------------   05.67 %
JavaScript                 20 hrs 53 mins        >------------------------   05.58 %
Terraform                  11 hrs 33 mins        >------------------------   03.08 %
SQL                        9 hrs 30 mins         >------------------------   02.54 %
Bash                       8 hrs 33 mins         >------------------------   02.28 %
JSON                       8 hrs 25 mins         >------------------------   02.25 %

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