Mohit
Kumar
CS undergrad at IIT Jodhpur — I build backend systems, distributed APIs, and data pipelines that hold up under real load. Currently open to SDE roles.
I like building backend systems that are simple, reliable, and fast.
Backend-focused engineer from IIT Jodhpur. Most of my work is around distributed systems, APIs, and performance-critical applications.
I believe good engineering is invisible. It just works, for longer than anyone expected.
Languages
Frameworks & Cloud
Tools & DevOps
Systems & Research
Undergraduate Researcher — IIT Jodhpur
- Federated learning research with FedMeet, reaching 85% accuracy on meeting client sensor data.
- Built an IMU-based engagement system with XGBoost and ONNX, achieving 91.19% cross-validation accuracy.
- Integrated the model into backend workflows with communication-aware updates and productivity feedback.
Jun 2025 - Jul 2025
Bachelor Project (Research and Engineering) — IIT Jodhpur
- Designed a three-phase pipeline that turns natural-language intent into secure Solidity contracts.
- Built validated JSON extraction, rule-constrained generation, and automated compilation repair.
- Integrated Slither, Mythril, and Semgrep with LLM-based patching for vulnerability detection and fixes.
Sep 2025 - Jan 2026
01
LiveWell-Log-Analyzer
Full-stack sensor data platform processing 50,000+ rows across 100+ channels. Reduced frontend rendering latency by 90% via Intelligent Windowed Downsampling and hit 10,000+ rows/sec backend throughput with async pipelines. Ships a Groq-powered GeoBot (Llama 3.3-70B) with streaming responses and persistent chat history.
02
GitHubCloudVault
Full-stack file management platform with Spring Boot and React. Integrated GCP Cloud Storage and Firebase Realtime DB for per-user metadata. Achieved sub-500ms upload latency for 10MB files under 50 concurrent users. Secured with Firebase ID-token auth and stateless Spring Security.
03
GitHubSpring Email Scheduler
Fault-tolerant job scheduling system using Spring Boot and Quartz with MySQL-backed persistence. Supports 50+ concurrent timezone-aware tasks with sub-second execution delays, automatic job recovery, and retry mechanisms.
04
Research · ACMFedMeet
Federated learning framework for human activity recognition using multi-sensor IMU data (smartwatch + earables). Implemented gated sensor fusion and BiLSTM to handle non-IID distributions. Achieved 87.97% accuracy — outperforming FedProx, FedPer, and ClusterFL. Co-authored ACM publication.
05
GitHubSecure Contract Pipeline
Automated pipeline for Solidity smart contract generation, vulnerability analysis, and LLM-based patching. Combines static analysis tooling with domain-specific prompting to detect and repair contract vulnerabilities end-to-end.
Open to backend roles,
projects, and good teams.
If you think I might be a fit, feel free to reach out.