(Dec 2022 - Aug 2024)
Software Engineer
Accenture
constcoder={name:'Saksham Yadav',skills:['React', 'NextJS', 'Redux', 'Express', 'NestJS', 'MySql', 'MongoDB', 'Docker', 'AWS', 'Go', 'ML/AI', 'Generative AI'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who I am?
My name is Saksham Yadav. I am a professional and enthusiastic programmer in my daily life. I am a quick learner with a self-learning attitude. I love to learn and explore new technologies and am passionate about problem-solving. I love almost all the stacks of web application development and love to make the web more open to the world. My core skill is based on JavaScript and I love to do most of the things using JavaScript. I am available for any kind of job opportunity that suits my skills and interests.
Experiences
(Jun 2021 - April 2022)
Flutter Developer Intern
Risva Rachna
Skills
PROJECTS
PixlDB
constproject={name:'PixlDB',tools: ['Go', 'B+ Tree', 'WAL', 'Concurrency', 'Mutexes', 'JSON Persistence'],Description: Architected a Go-based key–value store with a modular B+ Tree engine and a buffered Write-Ahead Log. Sustained ~129K ops/sec (≈77K writes/sec, 52K reads/sec) with sub-ms average latency, supporting durable range queries, node split/merge, and pluggable JSON persistence.};GAN-based Emoji Generator
constproject={name:'GAN-based Emoji Generator',tools: ['Python', 'PyTorch', 'torchvision', 'NumPy', 'Pillow', 'Matplotlib', 'DCGAN'],Description: Implemented a DCGAN in PyTorch (5-layer Generator/Discriminator) trained on ~8k 64×64 emoji-style faces with on-the-fly augmentation. Tracked experiments and metrics using torchvision/NumPy; improved sample fidelity through longer training and regularization.};SenseiBoard – AI Chess Assistant
constproject={name:'SenseiBoard – AI Chess Assistant',tools: ['Python', 'LangGraph', 'LlamaIndex', 'RAG', 'MCP'],Description: Integrated LangGraph + LlamaIndex with an MCP server to auto-extract FEN from live games and deliver on-board, real-time strategy tips. Designed a RAG pipeline with caching to serve recommendations in under ~3 seconds.};FirstFix – AI-Powered GitHub Issue Helper
constproject={name:'FirstFix – AI-Powered GitHub Issue Helper',tools: ['Python', 'Flask', 'React', 'LangGraph', 'RAG', 'VectorDB', 'ChromaDB'],Description: Engineered a platform that ingests repo context and issues into a Vector DB (ChromaDB) to recommend “good first issues.” Built a RAG pipeline with persistent embeddings and caching, cutting redundant API calls and improving latency by ~40%.};Educations
2024 - Present
Masters Degree
Santa Clara University
2018 - 2022
Bachelors Degree
Savitribai Phule Pune University