About Me
I am a Full-Stack ML Engineer with 3+ years of experience deploying large-scale AI solutions. My expertise spans:
- Machine learning and deep learning
- NLP and statistical modeling
- Video processing and computer vision
- Reinforcement learning
- Generative AI and LLMs
- MLOps and end-to-end workflows
I'm passionate about building AI systems that solve real-world problems, with a focus on scalability, reliability, and innovation.
AI/ML
Statistics, Machine Learning, Deep Learning, NLP, Reinforcement Learning
Full-Stack
Python, TypeScript, React, Django, Node.js, Next.js
Data Systems
SQL, NoSQL, Vector DBs, PySpark, Kafka, Airflow
Cloud/MLOps
GCP, AWS, Docker, Kubernetes, MLflow, DVC
Experience
entelligence.ai
San Francisco, CA, USA
Jul 2024 - Present
Founding AI Engineer
- •Leading AI development at Mayfield-backed startup revolutionizing developer tooling with AI-powered code understanding, reviewing and automation.
- •Built scalable multi-agent systems for production with fine-tuned LLMs (8/4-bit PEFT) powering intelligent code review, documentation, and team insights.
- •Developed novel AI Code Review system using Deepseek and LangGraph, outperforming competitors by 20% in critical bug detection.
- •Architected scalable microservices handling real-time code analysis for Fortune 500 clients, with auto-scaling AWS infrastructure.
- •Tech: Next.js, Django microservices, AWS, LangChain, Vector DBs, LLM fine-tuning
LanceDB(YC 22)
San Francisco, CA, USA
Jan 2024 - Jul 2024
AI Engineer
- •Led integrations with leading open source organizations (LangChain, LlamaIndex, RunWayML, etc.) for model loading and multi-modal data storage.
- •Optimized distributed training workflows using Modal Labs for on-demand GPUs.
- •Performed GPU fine-tuning on large language models.
- •Partnered with HuggingFace and LlamaIndex on advanced RAG tutorials.
Glance, Inmobi
Bangalore, India
May 2021 - Jul 2023
Machine Learning Engineer
- •Architected ML infrastructure serving 250M+ daily active users, powering content recommendations and personalized user engagement systems at scale.
- •Increased platform-wide user engagement by 15% using graph ML techniques (graph embeddings, Node2Vec) and achieved 3x performance gains by solving cold-start problem with graph contrastive learning.
- •Revolutionized logistics efficiency with ML-powered partner recommendation system, reducing costs by 14% across operations.
- •Built video content ranking system for Roposo (short-video platform) integrating GPT-3.5 and PySlowFast, pioneering AI-driven content automation.
- •Led critical infrastructure initiatives improving system reliability and performance, while mentoring new intern hires in ML best practices.
Hustlezy by Squibble Ventures
Noida, India
Jul 2020 - Jan 2021
Co-Founder
- •Co-founded an e-commerce startup that achieved ₹5.5Cr+ ($670K+) in revenue, with initial ₹5L ($6K) revenue in first 10 days of launch.
- •Architected the technical infrastructure including a query-based crawler and web application, while leading marketing and customer acquisition strategies. Continued to help as strategic advisor post-exit.
Internships
Glance, Inmobi
Bangalore, India
Jan 2021 - May 2021
Data Science Intern
- •Created data visualization graphics, translating and aggregating complex big data into comprehensive visual representations. Curated a dashboard that was used in showcasing company performance to key stakeholders and investors (For Ex - Google, Microsoft, Reliance etc.).
- •Conducted research on video models, completed thesis on Genre Detection using Video Feature extraction. Achieved a +14% accuracy from the set baseline.
- •Was the only intern in the company to get an early conversion (in 3.5 months) and started working as an FTE before completion of final semester.
XaiPient Inc NJ,USA
Princeton, NJ, USA
May 2020 - Jul 2020
Intern
- •Created an interactive dashboard using Streamlit and deployed it on the Cloud.
- •Researched fundamentals of causal inference and its importance in Explainable A.I., wrote a report for the same.
HCLTech
Noida
May 2018 - Jul 2018
Summer Trainee
- •Researched the fundamentals of core NLP concepts and deep dived into RNNs (Recurrent Neural Networks), wrote a white paper on the same.
- •Built an ML pipeline for sentiment analysis on a movie review dataset, implemented using a Word2Vec model, Keras and sklearn for model building and data pre-processing.
Skills
AI/ML
Expertise in traditional ML, deep learning, NLP, and reinforcement learning.
Machine Learning
Deep Learning
Graph Models
MLOps
Implementing best practices for machine learning operations and model lifecycle management.
Programming Languages
Proficiency in multiple programming languages for diverse project requirements.
Full-Stack Development
Building robust and scalable web applications with modern frameworks.
Cloud & DevOps
Deploying and managing scalable infrastructure and CI/CD pipelines.
Big Data Processing
Handling and processing large-scale datasets efficiently.
Version Control
Efficient code management and collaboration using version control systems.
Data Systems
Managing and optimizing various database systems for efficient data storage and retrieval.
Data Visualization
Creating interactive and insightful data visualizations for complex datasets.
Agile Methodologies
Applying agile practices for efficient project management and delivery.
Featured Projects
Morphus: Hybrid RL Framework
A novel multi-agent framework for dynamic personality adaptation without human intervention. (ongoing)
AlgoTrading
Created algorithms from scratch using technical indicators and ML models for robust trading signals.
MultiModal RAG for Video Processing
A multi-modal solution leveraging LlamaIndex, OpenCLIP, GPT-4V, and LanceDB for deep video content understanding.
GTE-MLX RAG CLI App
A CLI application for document-specific querying using RAG architecture with MLX LM and custom GTE model embeddings.
KnowDisaster
Led a team of 3 people to develop a web-app to predict occurrence of floods; notify users & emergency contacts and show nearest relief camp locations, submitted to Microsoft CodeFunDo hackathon.
Allergy Card
App that allows first responders to get the details of a user's allergies and details in an accident via an id stored on their NFC card. Android users will be directed to a webpage.
T-Mail
Terminal-based messaging system with Git authentication
Education
Master of Science in Data Science
Rutgers University - New Brunswick
New Brunswick, NJ, USA
Sep 2023 – May 2025
- GPA: 3.92/4.0
Bachelor of Technology in Computer & Communication Engineering
Manipal Institute of Technology
Manipal, KA, India
Jul 2017 – Sep 2021
- CGPA: 8.51/10.0
- Minor in Data Analytics
Get in Touch
Contact Information