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omkarchittar/README.md

Hi, I'm Omkar Chittar 👋

Software Engineer / AI Engineer building production AI systems

I build full-stack AI products, RAG systems, agentic workflows, evaluation infrastructure, and automation tools that solve real business problems.

Currently, I work across Universal Creative and UDX, shipping production AI systems across multiple business functions. Previously, I built AI and data systems for FOX Sports.


What I work on

  • Production RAG systems with retrieval, citations, and validation
  • AI agents and tool-calling workflows
  • LLM evaluation and regression testing
  • Full-stack AI applications
  • MLOps, serving, monitoring, and cost optimization
  • Enterprise data and automation workflows

Tech

Languages
Python · TypeScript/JavaScript · SQL · C++

AI / LLMs
RAG · Agents · Tool Calling · Embeddings · Vector Search · Guardrails · LLM Evaluation · LangChain · LangGraph

Backend / Web
Node.js · Flask · REST APIs · React · Next.js · Postgres

Cloud / Data
AWS · GCP · Azure · Databricks · Snowflake · Spark · Airflow · Kafka

MLOps / DevOps
MLflow · Docker · CI/CD · Git/GitHub · Linux · Automated Testing


Experience

Lead Software Engineer
Building production AI and full-stack systems across Universal Creative and UDX.

AI Engineer, FOX Sports
Built AI agents, RAG assistants, evaluation pipelines, and large-scale data workflows.

Software Engineer, Sakar Robotics
Built Python/C++ software for perception, automation, and intelligent systems.


Links

Popular repositories Loading

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    Controlling a 7 DOF manipulator from the panda gym reacher environment using DDPG

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  2. PointCloud_Classification_and_Segmentation PointCloud_Classification_and_Segmentation Public

    Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze…

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  3. Single_View_to_3D Single_View_to_3D Public

    Exploring the types of losses and decoder functions for regressing to voxels, point clouds, and mesh representations from single view RGB input.

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  4. Point_Cloud_Analysis Point_Cloud_Analysis Public

    Estimating Ground Surface Normals and Fitting Surfaces to Noisy LIDAR Point Cloud Data

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  5. Obstacle_Avoidance_Bot Obstacle_Avoidance_Bot Public

    Simulation of an obstacle avoidance turtlebot3 based on lidar data

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  6. Image_Stitching Image_Stitching Public

    This project involves stitching together four images taken from the different camera positions to create a panoramic image. The goal is to seamlessly merge the images together so that the resulting…

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