Machine Learning (Python, scikit‑learn)
4 yrsMachine Learning (Python, scikit‑learn) 40%
ML • LLMs • Data • Full‑Stack
AI that ships: ML Practitioner & Data Enthusiast
I design, train, and deploy LLM‑powered products end‑to‑end—RAG pipelines, evaluation loops, and scalable MLOps—bridging data and models with full‑stack engineering for production‑grade UX and reliability.
Stack: Python • PyTorch • TensorFlow • scikit‑learn • RAG • Vercel AI SDK • Node JS • AWS SageMaker • MLflow
About
I’m an ML practitioner and data enthusiast with full‑stack development experience. I design and operate LLM‑powered products—retrieval‑augmented generation, evaluation loops, and scalable MLOps—combining the ML ecosystem (PyTorch/TensorFlow, scikit‑learn, SageMaker, MLflow) with modern product engineering (TypeScript, React, Node.js, AWS). Currently at Syngenta, I lead and contribute to product development that supports key business outcomes—translating AI and platform capabilities into dependable, user‑centric solutions.
Technical Expertise
AI/ML, LLMs, and platform engineering
Deep Learning (PyTorch, TensorFlow)
3 yrsDeep Learning (PyTorch, TensorFlow) 30%
LLMs & RAG (Vercel AI SDK)
3 yrsLLMs & RAG (Vercel AI SDK) 30%
MLOps (SageMaker, MLflow, Docker)
3 yrsMLOps (SageMaker, MLflow, Docker) 30%
JavaScript & TypeScript
10 yrsJavaScript & TypeScript 100%
React & Angular
8 yrsReact & Angular 80%
Node.js & NestJS
9 yrsNode.js & NestJS 90%
AWS & Cloud‑Native
7 yrsAWS & Cloud‑Native 70%
Microservices Architecture
7 yrsMicroservices Architecture 70%
DevOps & CI/CD
6 yrsDevOps & CI/CD 60%
Projects
Selected AI/ML and platform projects, experiments, and tooling
GitHub Repositories
AI/ML experiments, LLM/RAG prototypes, and MLOps tooling—alongside full‑stack platform engineering in TypeScript and React.
Blog
Latest posts on ML, LLMs, MLOps, and engineering practices
Professional Experience
Leadership roles, achievements, and technologies
Lead Software Engineer • Syngenta
May 2024 — Present- Leads and contributes to product development that supports critical business initiatives and outcomes.
- Builds cloud-native solutions and platform capabilities for MLOps, enabling onboarding and reliability of AI models.
- Drives frontend development to enhance UX for the MLOps platform and collaborates across teams to deliver value.
- JavaScript
- TypeScript
- React
- Node.js
- Python
- AWS
Lead Software Engineer • Ellucian
Feb 2023 — May 2024- Delivered functional and technical solutions in the education admissions domain.
- Owned architecture, implementation, testing, and release execution with strong ownership.
- React
- Node.js
- TypeScript
- Jest
- GraphQL
IT Analyst • Tata Consultancy Services
Apr 2019 — Feb 2020- Enhanced modules and features while contributing unit and E2E tests.
- Collaborated with stakeholders and demonstrated sprint outcomes.
- React
- Node.js
- GraphQL
- Jest
- Cypress
Full Stack Developer / Technical Team Lead • NeoSOFT Technologies
2016 — 2023- Delivered full‑stack solutions across React, Angular, and Node.js.
- Built cloud‑native microservices and led peer code reviews.
- Angular
- React
- Node.js
- NestJS
- MongoDB
- PostgreSQL