Overview
Work History
Education
Skills
Skills Summary
Timeline
Generic
Saurav Chauhan

Saurav Chauhan

Jaipur

Overview

6
6
years of professional experience

Work History

SPECIALIST PROGRAMMER

INFOSYS
01.2023 - Current
  • Developed an AI-powered Code Review Agent that automates code quality analysis and security checks using LLMs, static analysis tools, and GitHub integration
  • Integrated OpenAI's GPT-4 and LangChain to provide inline suggestions on pull requests for code quality, performance, and security issues
  • Implemented security vulnerability detection using Bandit (Python), ESLint (JavaScript), Flowise, and SonarQube, identifying critical issues before deployment
  • Built GitHub Actions integration to automate pre-merge code reviews, reducing manual review efforts by 60%
  • Enabled multi-language support for Python, JavaScript, Agentic and Java, with extensibility for additional languages
  • Optimized performance using Redis caching, reducing response time by 40% and improving developer productivity
  • Designed a FastAPI-based backend to handle GitHub Webhooks & API requests, ensuring scalability and real-time processing
  • Deployed on AWS Lambda using Docker, ensuring a cost-efficient and serverless deployment model
  • Implemented CI/CD integration to enforce automated code quality checks, blocking PRs with critical issues
  • Designed and developed a Multi-Modal AI Chatbot that understands and processes both text and images using GPT-4V, CLIP, and BLIP-2, enabling vision-language understanding
  • Implemented OCR-based document analysis using Tesseract & PaddleOCR, allowing extraction of handwritten and printed text from invoices, receipts, and reports
  • Built an efficient backend using FastAPI + Redis caching Agentic, reducing response latency by 40%, enabling real-time responses for image-based queries
  • Integrated image generation capabilities using DALLE & Stable Diffusion, allowing AI-driven visual responses to text inputs
  • Developed an interactive user interface with Streamlit / React, enhancing user experience for multimodal interactions
  • Deployed the system on AWS (Lambda, S3, EC2) with Docker, ensuring scalability and cost efficiency for high-volume requests
  • Implemented conversational memory using LangChain & Vector Databases (FAISS, ChromaDB), enabling context-aware responses across multiple queries
  • Optimized image processing pipeline by leveraging GPU acceleration, improving performance by 30%

SYSTEM ENGINEER

INFOSYS
01.2021 - 01.2023
  • Aggregated complex datasets from internal and external APIs for seamless data integration
  • Developed an AI-powered SQL Agent that translates natural language queries into optimized SQL statements, enabling non-technical users to interact with databases seamlessly
  • Implemented OpenAI’s GPT-4 with LangChain SQLAgent, allowing context-aware SQL generation and query optimization
  • Integrated with multiple databases including PostgreSQL, MySQL, Flowise and Snowflake, ensuring broad compatibility across enterprise data systems
  • Implemented caching using Redis to store frequent queries, improving response time by 50% and reducing database load
  • Designed a tabular data rendering system, presenting query results in an easy-to-read format via Streamlit / React UI
  • Enabled query context retention using memory implementation (ChromaDB, FAISS, Agentic), allowing users to ask follow-up questions on previous queries
  • Added query validation and security checks, preventing SQL injection and optimizing query performance before execution
  • Built an API-driven architecture with FastAPI, allowing seamless integration with business intelligence tools
  • Deployed on AWS using Lambda & Docker, ensuring scalability, low-latency responses, and cost efficiency

Internship | Data science

IIT Kanpur
05.2019 - 07.2019
  • Developed an AI-based object classification and detection system using deep learning to identify and locate objects in images and videos
  • Implemented CNN-based architectures like ResNet, VGG16, and MobileNet for object classification, achieving high accuracy on test

Education

B.Tech - CSE

Dr. AITH Kanpur

Skills

  • Python

  • Pyspark

  • SQL

  • Bash

  • MATLAB

  • Pandas

  • Keras

  • Numpy

  • Matplotlib

  • Seaborn

  • Pytorch

  • SciPy

  • Scikit-learn

  • Statistics

  • Machine Learning

  • LLM

  • LangChain

  • Deep learning

  • Natural Language Processing

  • NLTK

  • Spacy

  • TensorFlow

Skills Summary

Python, R, SQL, Bash, MATLAB, Pandas, Keras, Numpy, Matplotlib, Seaborn, Pytorch, SciPy, Scikit-learn, Statistics, Machine Learning, LLM, LangChain, Deep learning, Natural Language Processing, NLTK, Spacy, TensorFlow, PySpark, RestAPI, Flask, Kubernetes, Docker, Hugging Face, OpenAI, GraphQL, Power BI, Tableau, AWS EC2, GitHub, Superset, Apollo Client, Kubernette, MySQL, RestAPI, AI Automation, Flowise AI, Agentic AI, PostgreSQL, Node4J GraphDB, Microsoft SQL Server, Snowflake

Timeline

SPECIALIST PROGRAMMER

INFOSYS
01.2023 - Current

SYSTEM ENGINEER

INFOSYS
01.2021 - 01.2023

Internship | Data science

IIT Kanpur
05.2019 - 07.2019

B.Tech - CSE

Dr. AITH Kanpur

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