01 / About
I am a software developer with a practical background in computer science, distributed system fundamentals, and data engineering. My work focuses on building clean, predictable API contracts, data ingestion pipelines, and intuitive user interfaces.
I have led AI strategy and recommendation modeling during Mood Indigo (IIT Bombay) handling attendee preference analysis for 45,000+ visitors, and engineered end-to-end data pipelines and analytical dashboards at TechnoHacks Solutions.
02 / Experience
2024 – PresentData Analytics Intern
Jun 2026 – Jul 2026- › Automated data extraction and cleansing routines for 15,000+ raw records with structured validation schemas.
- › Engineered 12+ visualization dashboards providing business metrics, reducing reporting cycle times by 35%.
AI & Strategy Intern (Team Lead)
Jan 2024 – Feb 2024- › Architected an AI recommendation system analyzing behavior patterns of 45,000+ festival attendees.
- › Delivered personalized event schedules, driving a 24% increase in participant session engagement.
03 / Featured Projects
github/kmaniskFull-stack price tracking daemon that periodically scrapes storefront endpoints, detects historical price drops, and fires automated notifications. Engineered with low-latency REST API endpoints (<180ms response time).
Recommendation engine built on user-item interaction matrices and cosine similarity vectors. Derived from preference clustering algorithms with an 88% precision score on behavioral benchmarks.
Automated data transformation and outlier identification system that ingests uncleaned operational logs, aggregates metrics, and generates visual analytical reports.
04 / Technical Stack
05 / Contact
I am open to full-time software engineering roles, backend/ML projects, and technical collaborations. Feel free to reach out directly.