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abhi02max/README.md

Hi, I'm Abhideep Bonigala

Software Engineer · AI/ML · Cloud Enthusiast · Devops Infrastructure · Full-Stack Developer

I build secure, production-minded applications across Java, MERN, AI/ML, testing, and cloud & Devops infrastructure.

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About me

  • B.Tech student in Computer Science & Engineering (AI & ML) at VNR VJIET, Hyderabad — Class of 2027
  • Building full-stack systems with React, Node.js, Express, Spring Boot, MongoDB, PostgreSQL, Redis, and MySQL
  • Trained in Java Full Stack, Software Testing, and Data Engineering through Coforge
  • Exploring applied AI through RAG, LLM integrations, classification, regression, clustering, ensemble methods, and recommendation systems
  • Practising production engineering with AWS, Docker, Kubernetes, Jenkins, GitHub Actions, Nginx, Prometheus, and Grafana
  • Interested in backend engineering, distributed systems, AI-enabled products, fintech, and developer tools

Core expertise

Area Technologies
Languages C++, Java, Python, JavaScript (ES6+), SQL
Frontend React.js, Next.js, Vite, HTML5, CSS3, Tailwind CSS
Backend Node.js, Express.js, Spring Boot, Spring MVC, REST APIs, Hibernate/JPA
Data MongoDB, PostgreSQL, MySQL, Redis
AI/ML scikit-learn, CatBoost, XGBoost, Pandas, NumPy, RAG, embeddings, LLM APIs
Testing Selenium, TestNG, JUnit, Mockito, Cucumber/BDD, Rest Assured, Postman, JMeter
Cloud & DevOps AWS, Docker, Kubernetes, Jenkins, GitHub Actions, Nginx, Linux, Ansible
Observability Prometheus, Grafana, Sentry, PostHog
Engineering System design, authentication, caching, CI/CD, API security, performance testing

Featured projects

WalletStack

A personal finance and market-intelligence platform combining live equity research, portfolio tracking, budgeting, financial goals, virtual trading, and AI-assisted insights.

  • React + Vite frontend and Node.js/Express backend
  • MongoDB persistence with Redis caching
  • Clerk authentication and account-scoped data isolation
  • Private RAG using chunking, embeddings, and cosine similarity
  • Financial charts, validation, security checks, tests, and deployment documentation

Stack: React · Node.js · Express · MongoDB · Redis · Clerk · OpenRouter

Smart Product Pricing ML

An end-to-end machine-learning pipeline for predicting product prices from textual, semantic, and structured features.

  • Text cleaning, tokenization, TF-IDF, and semantic embeddings
  • CatBoost regression with five-fold cross-validation
  • Feature caching for reproducible, faster experiments
  • SMAPE evaluation and automated prediction generation
  • Exploratory analysis and result visualisation

Stack: Python · Pandas · scikit-learn · CatBoost · Sentence Transformers

OpenHire

A skill-first freelancing and hiring platform designed to help developers demonstrate ability through real project contributions instead of relying only on resumes.

  • Role-based flows for developers, recruiters, and providers
  • Project discovery, contribution tracking, and developer profiles
  • Led a four-student academic product team
  • Designed as an open-source, extensible hiring ecosystem

Focus: Full-stack development · Product design · Team leadership

Moneri Spa & Academy

A client-facing full-stack application with a responsive interface and business-management backend.

  • React client with Express REST services
  • MongoDB persistence and JWT authentication
  • Media upload support and email notifications
  • Production build and environment-based configuration

Stack: React · Express · MongoDB · JWT · Node.js

Open-source contributions

I contribute to established open-source codebases to learn production engineering practices, collaborate through real review workflows, and work within large systems.

Rocket.Chat

Contributor work around a large-scale, security-focused communications platform. The fork is maintained for contribution branches, issue investigation, and upstream pull-request work.

Exposure: TypeScript · Node.js · React · Monorepos · Enterprise collaboration

Kmesh

Contributor work on a high-performance service-mesh data plane built with eBPF and programmable-kernel technologies. The fork is used for upstream contribution and systems-level learning.

Exposure: Go · C · eBPF · Linux networking · Cloud-native infrastructure

These repositories are upstream forks. Credit for the core projects belongs to their respective maintainers and communities.

Java and quality engineering

My Coforge training repository documents hands-on work across Java full-stack development, software testing, and data engineering.

  • Built a flight reservation system using Spring Boot, Spring MVC, Hibernate/JPA, MySQL, Maven, REST APIs, and React
  • Implemented role-based flows, flight search and booking, wallet operations, cancellation, admin flight management, and PDF ticket generation
  • Developed UI automation with Selenium, TestNG, Page Object Model, data-driven testing, screenshots, and Allure
  • Practised Cucumber BDD, Postman and Rest Assured API testing, JMeter performance testing, and JDBC database validation
  • Worked with build pipelines and automated reporting through Jenkins and GitHub Actions

Selected testing work: BDD Automation · Selenium CI/CD + Allure · API Testing · Rest Assured DDT

Experience and education

  • Coforge Industry Training — 2026
    Java Full Stack · Software Testing · Data Engineering
  • Full-Stack Development Intern, Get Interview Confidence — Jul–Sep 2025
  • Freelance Web Developer — 2022–Present
    Responsive business websites and full-stack applications
  • B.Tech, CSE (AI & ML), VNR VJIET — 2023–2027
    CGPA: 8.0/10

Certifications

  • Udemy Full Stack Software Developer
  • AWS Cloud Practitioner Certification
  • DevOps specialization

Currently building

  • WalletStack — evolving a fintech application into a quantitative finance and AI/ML platform
  • Operiqon — an AI-enabled client-work operating system for freelancers and small agencies
  • AI Code Collaborator — an enterprise-oriented code intelligence and collaboration platform
  • RecoveryOS — a policy-controlled AI agent for detecting and recovering failed revenue

Engineering principles

Build for users · Secure by default · Measure before optimizing · Document decisions · Automate repeatable work

Open to software engineering, backend, full-stack, cloud/DevOps, and applied AI opportunities

Explore my repositories · Contact me

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  1. -ML_Challenge -ML_Challenge Public

    End-to-end product price prediction pipeline using text features, semantic embeddings, CatBoost regression, cross-validation, and SMAPE evaluation.

    Python 1

  2. Coforge-Training Coforge-Training Public

    Hands-on Java full-stack, software testing, microservices, and data engineering exercises completed during Coforge technical training.

    Java 1

  3. Operiqon Operiqon Public

    Multi-tenant client-work operating system for freelancers and small agencies, with CRM, delivery, finance, analytics, and applied AI workflows.

    1

  4. Robinhood Robinhood Public

    AI-assisted learning platform for DSA and core computer science with interactive practice, mentoring workflows, and containerized services.

    JavaScript 1

  5. SeleniumWebDriverCICDJenkinsUsingAllureReports SeleniumWebDriverCICDJenkinsUsingAllureReports Public

    Java UI automation framework integrating Selenium, TestNG, Maven, Jenkins CI/CD, and Allure test reporting.

    HTML

  6. WalletStack WalletStack Public

    AI-powered personal finance and market intelligence platform with portfolio tracking, virtual trading, budgeting, RAG insights, and production security.

    JavaScript