Ayush Kumar
CSE '27 · SRM Chennai
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Software Engineer | AI Engineer | Product Engineer | Samsung PRISM Research Intern | 2× National Hackathon Winner | Building AI Agents, Developer Tools & Intelligent Products
Experiences
100K+
Records
78 - 97%
Accuracy
Mar-Aug
Term
3
Domains
- •Predictive Modeling: Built models for delinquency risk, marketing performance and sales forecasting on 100K+ real-world business records
- •Accuracy: Improved prediction performance from 78% to 97% through feature engineering and experimentation
- •Decision Support: Developed workflows that turned raw business data into actionable insights across multiple use cases
- •Evaluation: Measured model performance with quantitative metrics and presented findings to stakeholders
10,000+
Students
Backend
Role
Sep-Apr
Term
Data
Focus
- •Workflows: Built digital workflows that streamlined resume management and placement processes for students
- •Automation: Reduced manual administrative effort by automating document generation and tracking
- •Data Models: Designed scalable data models for user profiles, resumes and application records
- •Scale: Contributed to a platform supporting placement workflows for 10,000+ students annually
- •Collaboration: Worked closely with product, design and engineering teams to deliver user-focused solutions
First Author
Role
BiLSTM
Model
SHAP
XAI
SMM4H
Venue
- •Paper: Time-to-Stress Prediction in Precision Agriculture, a Dual-Head BiLSTM approach with SHAP-based temporal attention
- •Approach: Designed a dual-head BiLSTM with SHAP-based temporal attention for interpretable time-to-stress forecasting
- •Service: Selected as a Reviewer for SMM4H-HeaRD 2026
Projects
Play Video
MeetStream AI
AI meeting assistant that captures conversations and generates summaries, action items and insights using speech-to-text and LLMs.
Play Video
Decision Analytics Platform
Business-intelligence platform unifying forecasting, risk analysis and reporting into one decision-support dashboard over 100K+ records.
Play Video
Time-to-Stress Prediction
A dual-head BiLSTM with SHAP-based temporal attention for time-to-stress prediction. Reviewer, SMM4H-HeaRD 2026.
GitHub Activity
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LeetCode Activity
Loading LeetCode activitySkills & Technologies
Python
C++
JavaScript
HTML
CSS
React
FastAPI
MySQL
MongoDB
TensorFlow
Pandas
NumPy
scikit-learn
Git
GitHub
Docker
Excel
PowerPoint
LinuxLeadership & Achievements
2× National Hackathon Winner
1st place at IntelliHack SRM and AIR 3 at the BITS Hyderabad All-India Hackathon.
Student Technology Organization Lead
Led a 100+ member organization for two years — recruitment, operations, event planning and cross-functional teams.
Published Researcher & Reviewer
Authored a Dual-Head BiLSTM with SHAP-based temporal attention. Selected as a Reviewer for SMM4H-HeaRD 2026.
Competitive Programming
Solved 200+ algorithmic problems across LeetCode and GeeksforGeeks.
UI/UX & Graphic Design Freelancer
Delivered branding assets, design systems and digital experiences for startups and student organizations.