About 01Skills 02Experience 03Work 04Contact 05Download Resume
Let's build something great together.§ 01 — Index

MohitKumar

Backend engineer at IIT Jodhpur — I build distributed systems, async pipelines, and high-throughput APIs that hold up under real load. Open to backend roles.

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02By the numbersMeasured outcomes, not vibes
01
91.19%
ML accuracy
IMU engagement model · XGBoost + ONNX cross-validation
02
95.9%
cache hit rate
Redis cache · 24h TTL · payment idempotency proxy
03
0
duplicate charges across 20 concurrent requests
Redis SET NX + Lua atomic release · zero race-condition doubles
03AboutProfile

Backend engineer who builds systems that are simple, reliable, and fast.

I design and build backend infrastructure — distributed systems, async pipelines, and payment-grade APIs. Most of my work lives at the intersection of reliability, performance, and clean system design.

Currently building distributed webhook infrastructure with Redis-backed retry scheduling and circuit breaker patterns.

Currently

Distributed webhook infrastructure

Redis-backed retry scheduling · exponential backoff · circuit breaker patterns

04SkillsStack & tooling

Languages

08
  • Java
  • Python
  • C++
  • Kotlin
  • JavaScript
  • TypeScript
  • SQSQL
  • Solidity

Frameworks & Cloud

11
  • React
  • FastAPI
  • Spring Boot
  • Redis
  • PostgreSQL
  • MySQL
  • MOMongoDB
  • Firebase
  • AWS (S3, EC2)
  • GCP
  • REREST APIs

Tools & DevOps

13
  • Docker
  • Git
  • GitHub
  • CICI/CD
  • Linux
  • Postman
  • GitHub Actions
  • Prometheus
  • Grafana
  • IntelliJ IDEA
  • Android Studio
  • VS Code
  • Ollama

Systems & Research

learning
  • DIDistributed Systems
  • SYSystem Design
  • CACaching Strategies
  • SCScalability
05ExperienceSelected roles
Jun 2025 — Jul 2025
IIT Jodhpur

Federated Learning Researcher

  • 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.
Sep 2025 — Jan 2026
IIT Jodhpur

NLP → Solidity Compiler

  • 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.
06Selected workProjects
Source02 / 07

Payment Idempotency Proxy

FastAPIRedisPostgreSQLDockerPrometheusGrafana

Stateless payment proxy (FastAPI + Redis + PostgreSQL + Prometheus + Grafana) containerized with Docker Compose — one command deploys all 5 services. Distributed locks via Redis SET NX + Lua atomic release preventing race conditions on concurrent requests; validated 20 simultaneous requests producing exactly 1 transaction with zero duplicate charges. PostgreSQL audit trail (amounts in cents) with Pydantic validation and SHA-256 tamper detection. Redis caching (24h TTL, 95.9% hit rate) with Prometheus metrics exported to Grafana.

Source03 / 07

Spring Email Scheduler

JavaSpring BootQuartzMySQL

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.

Live04 / 07

Well-Log-Analyzer

ReactFastAPIPythonPostgreSQLAWS S3Groq

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.

Source05 / 07

CloudVault

JavaSpring BootReactFirebaseGCP

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.

Source06 / 07

Secure Contract Pipeline

SolidityPythonStatic AnalysisLLM

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.

Research07 / 07

FedMeet

PythonFlowerBiLSTMFederated Learning

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.

07ContactGet in touch

Open to backend roles, projects, and good teams.

If you think I might be a fit, feel free to reach out.

mohitkumar4922251@gmail.com

Prefer email? Reach me at mohitkumar4922251@gmail.com