๐ MS Computer Engineering @ San Diego State University
๐ผ 3 years as SDE (ML & Cloud/DevOps QA) @ Capgemini, Mumbai
๐ Perplexity AI Campus Ambassador @ SDSU โ promoting agentic AI & research workflows
๐ง Passionate about building end-to-end ML systems that go from idea โ deployed product in production
I design and ship intelligent, cloud-native systems โ spanning MLOps pipelines, LLM/agentic workflows, real-time inference stacks, and DevOps automation. I thrive at the intersection of machine learning, cloud infrastructure, and software craftsmanship.
| Project | Stack |
|---|---|
| ๐ฆ Topic Intelligence Service | Prefect ยท BERTopic ยท Hugging Face ยท Ollama ยท vLLM ยท MLflow ยท K8s |
| ๐ค Job Autopilot Agentic AI | LangGraph ยท OpenAI ยท RAG ยท Mem0 ยท React ยท LaTeX |
| ๐ก Decentralized UAV Swarm Simulator | Python ยท SimPy ยท 3-D Visualization |
| ๐ฌ Edge ML Vision Pipeline | PyTorch ยท ONNX ยท TensorRT ยท IoT Camera |
LangGraph ยท CrewAI ยท RAG ยท Prompt Engineering ยท vLLM ยท Ollama ยท TensorRT ยท Claude Code ยท Gemini
AWS EKS ยท Lambda ยท IAM ยท VPC ยท CloudFormation ยท CloudWatch ยท Azure App Services ยท Azure Functions ยท Azure DevOps
OpenAPI/Swagger ยท Webhooks ยท REST
OpenTelemetry ยท Logging/Alerting
Software Development Engineer ยท ML & Cloud/DevOps QA
- ๐งฎ Delivered an AI underwriting/quote-assist capability for a Guidewire insurance platform predicting coverage/premium ranges โ 30% improvement in decision speed & consistency
- โ๏ธ Built and deployed the model serving stack on AWS SageMaker, integrating predictions via secure REST APIs with versioned contracts
- ๐ Implemented an end-to-end MLOps pipeline (data validation โ model packaging โ deployment gates) using CI/CD, Docker, and AWS EKS
- โ๏ธ Owned CI/CD pipeline for Guidewire Policy Center across Azure & AWS โ Jenkins, GitHub Actions, and Azure DevOps for automated quality gates
- โก Reduced regression runtime from 12h โ 7h (~40%) by building a parallel Python/Java automation framework with Selenium, Pytest & Docker
- ๐ฆ Increased build stability +20% by automating pre-merge quality gates and containerizing workloads with Kubernetes
- ๐๏ธ Provisioned cloud infrastructure across AWS & Azure with Terraform, cutting environment setup time by 80%
- ๐ Centralized CI logs in Splunk and built telemetry dashboards in Grafana โ defect reopen rates dropped from 22% โ 8%, debugging turnaround improved 34%
- ๐ Built an internal web quality analytics platform (FastAPI ยท React ยท PostgreSQL) โ reduced false-red builds 32%, saved ~20 min/build
- ๐ Operationalized hosted microservices via AWS API Gateway with JWT/OAuth security and rate limiting for stress/load/performance testing
Campus / Student Ambassador
- ๐ Led hands-on classroom demos of Perplexity & the Comet browser for agentic research workflows
- ๐ Helped students streamline literature review, source-grounded writing, and academic productivity across SDSU
|
Real-time topic intelligence pipeline on 3M+ tweets
|
Agentic job-application system reducing manual resume tailoring by 92%
|
|
Real-time object detection pipeline optimized for IoT edge deployment
|
IoT-based freshness monitoring with 92% model accuracy
|
๐ The Freshness of Food Detection Using IoT and Machine Learning
Springer, Advances in Intelligent Systems and Computing, 2022
๐ Read here
Sensor arrays + ML models detecting food freshness in real-time โ tech that literally smells what's cooking! ๐ฅผ
| Badge | Certification |
|---|---|
| โ๏ธ | AWS Certified Solutions Architect โ Associate |
| ๐ค | NVIDIA Certified AI Infrastructure and Operations โ Associate |
| ๐ต | Azure Developer Associate |
| ๐ฃ | Terraform Associate |
| โ๏ธ | AWS Cloud Practitioner |
| ๐ท | Azure Cloud Fundamentals (AZ-900) |
| ๐ก | Google Cloud Fundamentals |
| ๐ง | Jenkins: Automating Your Delivery Pipeline |
- ๐ Rockstar Recognition & Best Team Award @ Capgemini
- ๐ค UFT One Certified Professional | Jenkins Pipeline Automation
- ๐ Perplexity AI Campus Ambassador โ driving AI literacy across SDSU
- ๐ฆพ LLM / Agentic AI systems and RAG architectures
- โ๏ธ MLOps pipelines and cloud-native ML deployments
- ๐ DevOps & QA automation frameworks
- ๐ง ML-powered IoT innovations
โจ "Build things that ship, learn things that matter." โจ



