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About Me
Skills & Expertise
Machine Learning & AI
- •LLMs & GenAI
- •NLP & Computer Vision
- •RAG Systems
- •Predictive Modeling
Cloud & Infrastructure
- •AWS & GCP
- •Docker
- •Git / Linux
- •Agentic Workflows
Data Science & Quant
- •Python (Pandas, NumPy)
- •Time Series Analysis
- •XGBoost & BERT
- •Financial Modeling
A software engineer and data scientist specializing in AI systems, full-stack web development, and quantitative modeling.
I build scalable end-to-end applications, from complex backend data pipelines to modern interactive web experiences.
My experience spans deep tech and enterprise software. Currently at Naukr.AI, I automate marketing insights and integrate SAM Agent workflows to accelerate client pipelines. Prior to this, I optimized multimodal LLM performance and induction frameworks at Outlier.ai.
Beyond AI models, I have a strong foundation in full-stack engineering. I enjoy working with Next.js, React, and Tailwind CSS to create polished user interfaces, while utilizing Python, Node, and SQL for robust infrastructure on AWS and GCP.
I originally developed my analytical skills building quantitative trading systems and mathematical models for financial markets. I ranked 23rd globally in the WorldQuant Brain IQC 2024, deploying over 15 distinct alpha models with significant ROI.
I am uniquely positioned at the intersection of AI modeling, financial logic, and modern software development—producing intelligent, functional products designed to scale.
When I'm not coding or analyzing data, I enjoy contributing to open-source projects and mentoring aspiring data scientists and engineers. I believe in creating technology that has meaningful impact and empowers users.