M.S. Computer Science
San Jose State University
San Jose, CA
Graduate study focused on AI/ML systems, distributed systems, and applied software engineering.
Portfolio
Yash Khairnar
AI/ML engineer and CS graduate student at SJSU focused on multi-modal AI systems. Welcome to my space.
Education
B.E. Computer Engineering
Savitribai Phule Pune University
Pune, India
Undergraduate foundation in computer engineering, algorithms, databases, systems, and applied machine learning.
Experience
Graduate Mentor | AI4ALL
June 2026 - August 2026
Stanford University
- -Mentored 20+ students in AI/ML concepts, Python programming, and project development through hands-on workshops and technical mentorship.
- -Guided student teams in designing and implementing end-to-end machine learning projects across Computer Vision, NLP, and Robotics domains.
- -Collaborated with Stanford faculty and co-mentors to deliver AI curriculum, support project execution, and cultivate an inclusive learning environment.
Software Engineer
July 2024 - June 2025
Accurate Industrial Controls Pvt. Ltd.
- -Engineered an end-to-end predictive maintenance system for industrial generators using anomaly detection and RUL prediction models, achieving 93% accuracy across 500+ hours of telemetry data.
- -Built an Automatic Number Plate Recognition pipeline using YOLOv11 and PaddleOCR with image preprocessing modules, improving plate detection and text extraction to 97% accuracy.
- -Designed a ROS-based inspection pipeline integrating YOLO, EasyOCR, and NVIDIA Triton Server, eliminating manual intervention in LPG cylinder inspection with 93% detection accuracy.
- -Deployed optimized ML pipelines with ONNX and Triton, reducing inference latency by 40% and increasing throughput for real-time systems.
Artificial Intelligence Intern
August 2023 - November 2023
Accurate Industrial Controls Pvt. Ltd.
- -Built an anomaly detection system for copper coil inspection using PatchCore and YOLO, integrating object tracking and image compression to improve inference efficiency.
- -Reduced video inference latency to 50 ms using GPU acceleration, multi-threading, frame skips, and pipeline-level optimizations.
- -Evaluated and implemented classical AI search algorithms including A* and potential fields for autonomous navigation.
Deep Learning Intern
November 2022 - February 2023
ResoluteAI Software
- -Developed a facial recognition attendance system using MTCNN for detection and a custom ANN classifier for embeddings, achieving 90% accuracy with less than 2% FPR.
- -Engineered a PDF resume parser using PyPDF2 and regex to extract structured data into JSON, automating 70% of manual data entry.
Research / Coursework
Interests
- -World Models
- -Core ML/DL, Computer Vision, LLMs, RL and Multimodal systems
- -Agentic AI Systems
- -Retrieval-Augmented Generation
- -Game Theory
Selected Coursework
- -Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning
- -Distributed Systems
- -Data Structure & Algorithms
- -DBMS, OS, Computer Networks
- -Cloud Computing, Software Engineering
Paper Reproductions
Paper Reproductions & Labs
A collection of my implementations and reproductions of various AI/ML research papers.
Projects
Documentation Assistant
RAG application that indexes technical documentation URLs and answers questions with retrieved context.
Python, FastAPI, LangChain, RAG
ThinkFlow
EEG-to-text translation system using VQ-VAE, BART Transformer, and LSTM Seq2Seq with attention.
PyTorch, Hugging Face, Flask, Next.js
Sentinel
Serverless email marketing platform with analytics, AI-assisted content generation, and multi-region AWS deployment.
AWS Lambda, S3, API Gateway, DynamoDB, SQS, SNS, SES, Terraform
Malware Classification
Classified malware into 12 families using DenseNet121 CNNs on 10K+ samples, reaching 95% accuracy.
PyTorch, DenseNet121, SVM, grid search
AetherForge
Multi-agent collaborative IDE where humans and AI agents can edit the same codebase with CRDT-backed sync.
CrewAI, Gemini orchestration, Automerge, React
Writing
Transformers: The Idea That Changed AI Forever
Deep dive into the transformer architecture that revolutionized machine learning, from attention mechanisms to practical implementations.
medium
Neural Machine Translation: The Mathematics of Attention
Exploring how the RNNSearch mechanism solved the information bottleneck in sequence-to-sequence models for translation tasks.
medium
Performance Analysis: LSTM vs RNN
Comparative study using Google Speech Commands dataset. Understanding the trade-offs between architectural choices in recurrent networks.
medium
Why the Best Neural Network Is the One You Can Compress
On model efficiency, pruning strategies, and the importance of optimization for production ML systems and edge deployment.
medium
Project Archive
Agies
AI-powered automated bug-fixing agent that analyzes Sentry errors, identifies problematic code, proposes fixes, tests them in a sandbox, and creates draft pull requests.
Agentic AI, LangGraph, Streamlit, Sentry, CodeRabbit, Daytona Sandbox, GitHub API
Image Colorizer
Deep learning app for colorizing black-and-white photographs using a GAN-based image translation workflow.
Flask, HTML/CSS, NumPy, OpenCV, GANs, model fine-tuning
4Bit
Diagnostic tool for lung cancer analysis using multi-omics data, CT scan images, biomarkers, and genetic mutation signals.
Python, Keras, TensorFlow, multi-omics, biomarkers
Roomie Radar
Roommate matching app that uses preference-based compatibility scoring to recommend better roommate fits.
Next.js, machine learning