About Me
I'm a passionate AI/ML engineer with 3+ years of experience building intelligent systems, RAG pipelines, and LLM-integrated applications. I am actively seeking AI/ML Engineer, Machine Learning Engineer, Data Scientist, and AI Research Engineer roles. I thrive on designing distributed AI systems, optimizing inference pipelines, and deploying scalable, reliable AI services that prioritize performance, safety, and interpretability.
My Story
I started my AI/ML journey in 2018, curious about how artificial intelligence could transform the way we solve complex problems. That curiosity evolved into a passion for building intelligent, scalable systems that bridge the gap between cutting-edge AI research and real-world applications.
Over the years, I've specialized in developing RAG systems, fine-tuning LLMs, and building production-ready AI pipelines. My expertise spans from designing distributed AI architectures to implementing state-of-the-art models using frameworks like Hugging Face Transformers, PyTorch, and LangChain. I've successfully deployed AI systems that process real-time data, optimize inference performance, and deliver measurable business impact.
What drives me is the challenge of making AI more accessible, interpretable, and reliable. I love experimenting with emerging AI technologies, optimizing model performance, and building systems that not only work efficiently but also provide clear insights into their decision-making processes.
Tech Stack
Technologies and tools I use to bring ideas to life
Frontend
- React
- Next.js
- TypeScript
- Tailwind CSS
- HTML/CSS
Backend
- Java
- Python
- Node.js
- Flask
- Spring Boot
- PostgreSQL
- MongoDB
- Redis
AI/ML
- GPT-4
- Gemini
- Claude (Anthropic)
- LLMs
- Hugging Face Transformers
- Scikit-learn
- TensorFlow
Distributed Systems
- Kafka
- gRPC
- REST APIs
- Spark
- Delta Lake
Cloud & DevOps
- AWS
- GCP
- Docker
- Kubernetes
- Git
- CI/CD
Testing & Tools
- PyTest
- Jest
- JUnit
- Postman
- GitHub Copilot
- Cursor
Education
- Data Structures & Algorithms
- Machine Learning
- Data Mining
- Data Center Scale Computing
- Cybersecurity for Data Science
- Data Science as a Field
- Ethical Issues in Data Science
- Data Structures and Algorithms
- Software Engineering
- Web Technologies
- Cloud Computing
- Database Systems
- Operating Systems
- Object-Oriented Programming
- Computer Networks
- Distributed Systems
Experience
My professional journey in the tech industry
Software Engineer
Jul 2025 – Present
- Built user-facing tooling and modular React components to support LLM-based app generation, speeding up prototyping workflows by 60%.
- Designed and deployed data pipelines powering AI training and evaluation, reducing ingestion latency by 45% and enabling iterative model improvements.
- Fine-tuned generative AI agents to produce high-quality frontends, incorporating usability heuristics, structured UI trees, and real-time feedback mechanisms.
Software Engineer
June 2024 – Dec 2024
- Developed a React + TypeScript admin interface for campaign access management, improving UX and increasing engagement by 30%.
- Built gRPC and REST APIs in Python, integrating AWS Lambda and S3 to streamline high-throughput data pipelines.
- Implemented tests with Jest and Pytest, achieving 95% coverage and reducing production defects by 25%.
Software Engineer
Aug 2021 – June 2023
- Improved frontend responsiveness and performance by integrating React, Redux, and component-level caching, cutting page load times by 25%.
- Partnered with UX team to redesign critical user flows, increasing customer satisfaction and reducing support tickets.
- Built event-driven microservices with Spring Boot, Kafka, and AWS Lambda to improve backend scalability by 20%.
Associate Software Engineer
Nov 2020 – Aug 2021
- Developed frontend components using React and TypeScript, improving usability and cross-browser performance by 25%.
- Designed RESTful APIs in Python to optimize system communication, reducing data processing time by 30%.
- Deployed containerized services using Docker on AWS EC2, integrating CI/CD pipelines for automated and scalable delivery.
Certifications & Awards
Generative AI Fundamentals
Databricks
Data Science Hackathon
University of Colorado Boulder
Introduction to R Programming
University of Colorado Boulder
MongoDB – The Complete Developer's Guide
Udemy
Spot Award – Outstanding Contribution in Project
TEKsystems
Go Java Full Stack with Spring Boot and React
Udemy
React Testing library with Jest
Udemy
React Course
Udemy
SQL (Basic)
Hackerrank
SQL (Intermediate)
Hackerrank
Vue Course
Udemy
Python (Basic)
Hackerrank
Python (Intermediate)
Hackerrank
Python Course
Coursera & Google
Volunteering & Activities
Ways I give back and stay engaged beyond work
