Hello, I'm
I am a passionate engineer with expertise in software development, machine learning, LLMs, and cloud technologies. Dedicated to delivering exceptional results through innovation, data-driven insights, and creative problem-solving.

I've always enjoyed building things — from scribbling logic in notebooks to shipping code that powers real products. Somewhere along the way, I got curious about the patterns behind the data. That curiosity led me into machine learning, and eventually into designing systems that don't just run, but learn.
These days, I work at the intersection of software engineering and intelligence. I build backend services, search systems, and ML pipelines — and lately, I've been deep into semantic search and autonomous agents. I'm especially into LLMs, cloud-native workflows, and anything that turns raw data into real insights.
I'm currently based in the NYC metro area, working on projects that blend practical engineering with AI that actually works in production. Outside of work, you'll usually find me hacking on side ideas or chasing good light with my camera. If you're curious or want to collaborate, feel free to reach out.
Technical expertise across data science, machine learning, and cloud infrastructure.
Python, R, Java, JavaScript, HTML/CSS for building data-driven applications and interfaces.
Expertise in PyTorch, TensorFlow, scikit-learn for predictive modeling and AI solutions.
Experience with GPT, LangChain, LangGraph, OpenAI Agents SDK, CrewAI, and building RAG systems.
SQL, MongoDB, semantic search, and vector databases (OpenSearch, Qdrant) for intelligent retrieval.
AWS (S3, SageMaker, Bedrock Redshift, Quicksight, EC2, Lambda) for scalable deployments.
Building end-to-end ML pipelines, automated deployments, and monitoring solutions.
Docker, CI/CD, Jenkins for streamlined development and deployment processes.
Pandas, NumPy, and visualization tools for extracting insights from complex datasets.
A chronicle of my professional journey, showcasing my career progression and key contributions.
INVIDI Technologies
Leading data science initiatives focused on forecasting, optimization, and MLOps solutions. Built MLOps pipeline using AWS Sagemaker and API Gateway to deploy ML models as scalable, serverless endpoints. Currently building AI-powered semantic search systems for video content discovery and matching.
INVIDI Technologies
Developed advanced inventory scheduling system for efficient ad campaign delivery. Achieved 98% utilization rate of ad inventory.
Visa Inc.
Developed enterprise applications and ML-powered features for Visa's internal platforms. Improved retention and user experience by 40%.
Cognizant Netcentric
Developed backend solutions for major international clients including Kia Motors and InterContinental Hotels Group.
Publicis Sapient
Developed web solutions and ML models for clients and internal projects. Created analytics for marketing campaigns and customer profiles.
My academic background and professional certifications that have shaped my knowledge and expertise.
Rutgers, The State University of New Jersey
Completed advanced studies with a focus on machine learning, artificial intelligence, and data science. Research Assistant for longitudinal study of local news in New Jersey.
Dr. B.R Ambedkar National Institute of Technology
Built a strong foundation in engineering principles, programming, and technology fundamentals. Developed alcohol detection and accident prevention technology.
A collection of my notable projects, demonstrating my technical skills and creative problem-solving.
Have a question or want to work together? Schedule a meeting or send me a message!
Choose a time that works for you using my online calendar.
Feel free to reach out with any questions or inquiries.