Ayush Kumar
CSE '27 · SRM Chennai
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Software Engineer | AI/ML | Full-Stack Development | Samsung PRISM R&D Intern | 2× National Hackathon Winner
Experiences
100K+
Records
3
ML Projects
5+
Models Evaluated
Mar–Aug 2025
Term
- •Projects: Completed three machine learning projects, each involving 100K+ records, covering data collection, preparation, model development, evaluation and prediction
- •Workflows: Developed Python-based data processing workflows for business requirements by cleaning, organizing and processing datasets and applying classification and regression models
- •Evaluation: Compared Random Forest, XGBoost, CatBoost, Ridge and LightGBM using accuracy, precision, recall and RMSE to evaluate model performance across multiple use cases
- •Inference: Built, debugged and tested end-to-end ML inference workflows connecting processed data with model predictions for real-time business applications
Projects
CoverFlow
AI-powered card benefit activation platform that monitors card transactions in real time, identifies qualifying protection benefits, and streamlines insurance claim processing end to end. REST API workflows handle benefit eligibility, transaction data and claim generation, while an OCR + LLM pipeline converts unstructured receipts into structured claim data — with real-time notifications through approval.
AI-Powered Business Analytics Platform
Unified business analytics platform combining forecasting, risk assessment, interactive dashboards and AI-powered recommendations across 100K+ business records. Sub-200ms REST API and JSON-driven workflows power automated reporting and interactive dashboard views, turning raw data into clear, actionable visualizations.
Nomi
An AI companion that lives beside your browser — a floating glass avatar that learns your habits, builds a daily memory of your work and answers questions like "when did I last study graphs?". Local-first: on-device inference with transformers.js, encrypted storage, no cloud recording.
LoopJob
A personal always-on agent that monitors company career portals, discovers matching jobs across the indexed job market and semantically matches them against your filters — then emails you new openings, deduplicated, with the reason each one matched.
Calendar heatmap showing daily GitHub contribution counts for Ayush277 over the last year. Scroll horizontally to inspect all weeks.
LeetCode Activity
Peak Rating: 1596·Solved: 250+Skills & Technologies
C++
Python
Java
JavaScript
TypeScript
SQL
React
Node.js
Express.js
FastAPI
Next.jsPostgreSQL
MongoDB
Redis
Docker
Terraform
Jenkins
Git
GitHub
PostmanLeadership & Achievements
2× National Hackathon Winner
Won 2 national hackathons, including 1st Place at IntelliHack SRM and AIR 3 at the BITS Hyderabad All India Hackathon. Also Top 50 at Smart India Hackathon 2024–25 and SDE Finalist at Flipkart GRiD 8.0.
Competitive Programming
Achieved a peak LeetCode Contest Rating of 1596 and solved 250+ DSA problems across LeetCode, GeeksforGeeks and Codeforces.
Research — Plant Stress Prediction
Co-authored “Plant Stress Prediction using Residual BiLSTM with Temporal Attention and SHAP-Based Explainability AI”, accepted for presentation at CEEE 2026.
President — NSCC SRM
Led a 100+ member technical community.
Google Developer Groups Lead — 2024–25
Drove technical events and developer activities.
Freelance & Client Work
Delivered software solutions for client requirements, working directly with clients to gather requirements, translate business needs into technical solutions, implement features, and handle feedback through delivery.
Education
SRM Institute of Science and Technology
Bachelor of Technology in Computer Science and Engineering