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Gaurav Chaudhary

C++ | Java |Python | JavaScript | SQL | PostgreSQL |MERN |Spring Boot |Spring MVC, Security, JPA, Hibernate, JDBC | AWS | Docker | Jenkins |DSA | Competitive Programming |System Design | GEN AI

Bengaluru

2+ years of work experience

Innodata Inc.
Jun 20263 moSep 2026

India

• Evaluate and fine-tune Large Language Models (LLMs) across diverse task suites, scoring response accuracy, reasoning quality, factual consistency, and instruction adherence to drive measurable model quality gains. • Assess and improve Retrieval-Augmented Generation (RAG) workflows by measuring retrieval relevance, context grounding, and hallucination rate, raising the quality of grounded Generative AI responses in production. • Own AI quality assurance end to end: reproduce model failures, define evaluation rubrics, validate fixes, and partner with engineering teams to harden workflow reliability and output quality. • Automate evaluation and data validation pipelines in Python, standardizing how results are collected and reported and cutting repetitive manual review effort. • Tech: LLM Evaluation, RAG, Prompt Engineering, Python, Pandas, Generative AI, AI Quality Assurance, Data Validation.
KPIT
Apr 20251 yApr 2026

Pune

• Developed and validated ECU software and control systems for the EVCU2 program, covering ECU virtualization (vECU), system integration, and timing analysis across the delivery cycle. • Drove virtual ECU workflows with dSPACE SystemDesk, ControlDesk, and VEOS Player, enabling validation to run without hardware-in-the-loop dependencies. • Built Python automation scripts for environment setup, run orchestration, and log/result collection, improving repeatability and cutting turnaround time on repetitive tool-driven tasks. • Tech: ECU Virtualization (vECU), AUTOSAR, C, Python, Control Systems, Timing Diagrams, Embedded Systems.
KUPPISMART SOLUTIONS Pvt Ltd
Sep 20236 moMar 2024

On-site

• Led full-stack integration of real-time IoT sensor data into a live monitoring dashboard, delivering actionable insights that improved livestock health monitoring by 25%. • Designed and maintained the database schema for streaming sensor data, ensuring efficient storage, indexing, and low-latency access for live queries. • Built interactive data visualizations for temperature, humidity, air quality, and ventilation monitoring. • Tech: Python, ThingSpeak API, SQL, Power BI
insideFPV
May 20235 moOct 2023

Vellore, Tamil Nadu, India

• Optimized data handling and rendering on the production storefront, reducing page load times by 40% and lifting user engagement by 25%. • Developed server-side logic and REST APIs with Node.js and Express, tuning MongoDB queries for efficient data processing. • Integrated secure payment gateways and enforced industry security standards. • Tech: Node.js, Express, MongoDB, AWS EC2, AWS S3, WordPress.

Gaurav’s AI Stack

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deepseek
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langchain
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Education

VIT_Vellore Institute of Technology

Bachelor of Technology - BTech, Electronics and Communications Engineering

VIT_Vellore Institute of Technology

20214 yrs2025

Intermediate, PCM

Ingraham Institute Senior Secondary English School

20191 yr2020

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Headline

C++ | Java |Python | JavaScript | SQL | PostgreSQL |MERN |Spring Boot |Spring MVC, Security, JPA, Hibernate, JDBC | AWS | Docker | Jenkins |DSA | Competitive Programming |System Design | GEN AI

About

My strength are I am Self Motivated , Hard Working and a Disciplined Person . My short term goal is to get a job in a reputed company and My long term goal is to achieve a good position where I can build my career and help my Organization too. My hobbies are Athletics, Travelling , Developing Innovating Apps and Websites and Trading.

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

deepseek

langchain

Work experience

Senior Associate at Innodata Inc., Jun 2026 - Sep 2026 · 3 mo, India, • Evaluate and fine-tune Large Language Models (LLMs) across diverse task suites, scoring response accuracy, reasoning quality, factual consistency, and instruction adherence to drive measurable model quality gains. • Assess and improve Retrieval-Augmented Generation (RAG) workflows by measuring retrieval relevance, context grounding, and hallucination rate, raising the quality of grounded Generative AI responses in production. • Own AI quality assurance end to end: reproduce model failures, define evaluation rubrics, validate fixes, and partner with engineering teams to harden workflow reliability and output quality. • Automate evaluation and data validation pipelines in Python, standardizing how results are collected and reported and cutting repetitive manual review effort. • Tech: LLM Evaluation, RAG, Prompt Engineering, Python, Pandas, Generative AI, AI Quality Assurance, Data Validation.

Associate Software Engineer at KPIT, Apr 2025 - Apr 2026 · 1 y, Pune, • Developed and validated ECU software and control systems for the EVCU2 program, covering ECU virtualization (vECU), system integration, and timing analysis across the delivery cycle. • Drove virtual ECU workflows with dSPACE SystemDesk, ControlDesk, and VEOS Player, enabling validation to run without hardware-in-the-loop dependencies. • Built Python automation scripts for environment setup, run orchestration, and log/result collection, improving repeatability and cutting turnaround time on repetitive tool-driven tasks. • Tech: ECU Virtualization (vECU), AUTOSAR, C, Python, Control Systems, Timing Diagrams, Embedded Systems.

Intern at KUPPISMART SOLUTIONS Pvt Ltd, Sep 2023 - Mar 2024 · 6 mo, On-site, • Led full-stack integration of real-time IoT sensor data into a live monitoring dashboard, delivering actionable insights that improved livestock health monitoring by 25%. • Designed and maintained the database schema for streaming sensor data, ensuring efficient storage, indexing, and low-latency access for live queries. • Built interactive data visualizations for temperature, humidity, air quality, and ventilation monitoring. • Tech: Python, ThingSpeak API, SQL, Power BI

Intern at insideFPV, May 2023 - Oct 2023 · 5 mo, Vellore, Tamil Nadu, India, • Optimized data handling and rendering on the production storefront, reducing page load times by 40% and lifting user engagement by 25%. • Developed server-side logic and REST APIs with Node.js and Express, tuning MongoDB queries for efficient data processing. • Integrated secure payment gateways and enforced industry security standards. • Tech: Node.js, Express, MongoDB, AWS EC2, AWS S3, WordPress.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, VIT_Vellore Institute of Technology

Intermediate, PCM, Ingraham Institute Senior Secondary English School

Public links

github: https://github.com/rider315

leetcode: https://leetcode.com/himanshu_3152

gauravports.onrender.com: https://gauravports.onrender.com/