Summary
Overview
Work History
Education
Skills
Websites
Extracurricular Activities
Personal Information
Timeline
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Aadarsh Kethavath

Aadarsh Kethavath

Mumbai

Summary

Software engineer with expertise in Python and React.js, achieved 99% latency reduction through innovative solutions. Proficient in AI-driven data management and team mentoring to improve project outcomes. Demonstrated strong analytical skills and leadership in delivering impactful AI-enhanced solutions.

Overview

1
1
year of professional experience

Work History

SDE - 2 - ROCSTAR AI

HOUSE OF CODE INDIA LIMITED
04.2025 - Current
  • Designed and implemented real-time WebSocket infrastructure with heartbeat and ping/pong logic, preserving a consistent session ID across the React and FastAPI server environment for consistent handshake and communication via SSE.
  • Built a Statement Upload, Data Extraction and reconciliation components with optimistic updates and intelligent navigation logic for enterprise grade level workflows using React, MUI DataGrid, DLF algorithm, and Redux Store to provide Instant visual feedback.
  • Resolved deep client-side issues in React-MUI DataGrid involving DOM event race conditions for folder navigation, improving UI responsiveness, and navigation reliability considering reacts lifecycle hook
  • Led the development of Bulk Ingestion Services on the .NET engine, with effective data processing and cleaning, and reduced time or latency by 99% with parallel and sub-batch processing in multi-threading.
  • Spearheaded reconciliation workflows, integrated MCP Server for an AI service, and enhanced orchestration and accuracy in the autogen framework, reducing the cost of the Cosmos DB service from Azure by 90%.
  • Mentored team members on performance troubleshooting, introduced prompt engineering concepts, and drove the adoption of LLM-enhanced modules for effective retrieval mechanisms, and expertise in using Cursor.AI.

Tech Lead - Retrieval-Augmented Generation (RAG)

HOUSE OF CODE INDIA LIMITED
07.2024 - 01.2024
  • Spearheaded the development of an intelligent AI system, leveraging the Large Language Models (LLM) and used Tesseract's OCR engine, to enhance user interaction with business data through Natural Language Query (NLQ).
  • Led end-to-end Data Cleaning and then prepared processes to ensure High model performance accuracy in NLQ.
  • Implemented a Data Ingestion Utility using the Delta Lakehouse Architecture, streamlining data processing and storage with high efficiency using Autoloader for two businesses Credit and Accounting for daily job Streaming.
  • Integrated the Delta Live Tables and adopted Medallion Architecture to enhance the Data Pipeline efficiency.
  • Well versed with the Streamlit, Chainlit and Flask applications and deployed the RAG model on Azure Web App Service, utilizing Azure Container endpoints for file management and mount the trained files in vector database.
  • Created Daily Jobs including different Merge operations and worked with Spark to manipulate dataframes and delivered a scalable, AI-driven solution, improving data accessibility and insights for end-users on Databricks.

Education

BTech - Civil Engineering

IIT BOMBAY
Mumbai
06-2022

Skills

  • Python programming
  • Reactjs development
  • AI/ML frameworks
  • Data management
  • Web development

Websites

Extracurricular Activities

Excelled by securing a percentile of 98 in JEE Advanced and 99.2 in JEE Mains (2018). Spearheaded institute's kabaddi team and won Gold in Udhgosh, a sports festival organized by IIT Kanpur. Successfully completed a year-long rigorous training in Weightlifting under NSO, IIT Bombay. Awarded Employee of the Month Twice for excellence in solving challenges in the development of Software (01/01/24 - 03/31/24).

Personal Information

Date of Birth: 01/26/00

Timeline

SDE - 2 - ROCSTAR AI

HOUSE OF CODE INDIA LIMITED
04.2025 - Current

Tech Lead - Retrieval-Augmented Generation (RAG)

HOUSE OF CODE INDIA LIMITED
07.2024 - 01.2024

BTech - Civil Engineering

IIT BOMBAY

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Aadarsh Kethavath