AVAILABLE FOR HIRE
Hi, I'm
Abhivir Singh
AI/ML Engineering Student
Results-driven AI/ML engineering student with strong foundations in Python, Java, and JavaScript. Experienced in building LLM-based automation pipelines, REST APIs, and full-stack applications with testing and evaluation frameworks. Familiar with Gen AI, multi-agent systems, Selenium automation, and Agile workflows.
Experience
Tata Consultancy and Services
Jun 2023 - Aug 2023
Research Internship
- Conducted AI/ML research for telecom sector, applying Python (NumPy, pandas) to improve data analysis accuracy by 15% against conventional benchmarks. Enhanced team communication and project documentation, contributing to a 20% faster product iteration cycle.
Old Skool Labs
May 2024 - Aug 2024
Full Stack Intern
- Developed and deployed multiple full-stack e-commerce platforms for corporate clients, focusing on secure payment processing and scalability. Engineered and implemented an automated QR code verification system for intern credentialing, cutting manual processing by 70%.
GeeksforGeeks
Jun 2025 - Aug 2025
Member of Technical Staff Intern
- Resolved platform bugs and enhanced user experience, improving support response time by 30% using JavaScript and collaborative debugging. Co-developed new course modules with team members, expanding technical course offerings and boosting student engagement by 25%.
Omnipresent Robot Technologies
Dec 2023 - Jan 2024
Technical Intern
- Worked on AI/ML based on-board Change Detection for Multi Payload fused Imagery Data. Worked in the testing team and gained exposure to the drone industry.
Roostoo Labs
May 2025 – Aug 2025
Backend & Platform Engineering Intern
- Engineered high‑throughput Python backend microservices and REST endpoints for deterministic trading signals, improving pipeline throughput by 35% through latency optimization and robust regression testing.
Old Skool Labs
May 2024 – Aug 2024
Software Engineering Intern
- Designed and deployed modular RESTful services and MySQL schemas, implementing custom middleware for validation and rate limiting, and contributed to agile workflow with code reviews and comprehensive documentation.
GeeksforGeeks
Jun 2025 – Aug 2025
Member of Technical Staff Intern
- Designed and validated multi-step task trajectories for LLM-based automation systems and built structured task workflows. Debugged production issues and collaborated on feature enhancements, improving backend reliability in an Agile environment.
Technical Skills
Languages
PythonJavaCC++Assembly LanguageJavaScriptMatlabSQLPython (Advanced)TypeScriptGo (Familiar)JavaScript (ES6+)
Developer Tools
Object Oriented DesigningSDLC KnowledgeVS CodeAnacondaEclipse
Frameworks & Libraries
GitHubMongoDBHTML/CSSReactJSNextJSExcelProxyMeshChromeDriverTensorFlowNumPyOpenCVPyGameSeleniumFlaskGoogle Apps ScriptAutoCrat
Soft Skills
LeadershipManagementTeamworkCommunicationAnalytical & Problem SolvingSDLC KnowledgeCreative Thinking
Developer Tooling & Backend
FastAPIFlaskNode.jsREST APIsRedisDockerGit InternalsLinux/BashPyTest
Program Analysis & Agents
ASTsTree-Sitter (Basics)Graph Traversal (DAGs)LangGraphMCP (Model Context Protocol)Vector Search (FAISS, Pinecone)LLM Tooling
Core Competencies
Static Code AnalysisCode Defect AnalysisDeterministic ExecutionHigh-Throughput Pipelines
Testing & Automation
SeleniumREST API TestingLLM Evaluation PipelinesUnit TestingIntegration TestingRegression TestingFunctional TestingLog Analysis
Frameworks & Backend
Node.jsExpress.jsSpring BootREST APIsJWT AuthenticationNext.js
Frontend
ReactHTML5CSS3Tailwind CSS
Databases
PostgreSQLMongoDBSQLiteMySQL
AI/ML & Gen AI
PyTorchTensorFlowLangChainLangGraphHugging FacePrompt EngineeringMulti-Agent SystemsRAG
DevOps & Tools
GitGitHubDockerGitHub Actions (CI/CD)PostmanLinuxVS Code
Concepts
Agile/ScrumSDLCOOPDSADebuggingCoding Standards
Featured Projects
Roostoo Trading Bot
Python, NextJS, pandas, numpy, yfinance, TA-Lib
- ›Applied Object-Oriented Design (OOD) principles to develop a Python-based trading bot for Roostoo mock API
- ›Automated trades with RSI, MACD, BBands strategies
- ›Implemented risk management (3% stop-loss, 6% take-profit), boosting trade accuracy by 18% using advanced data analysis tools
E-Commerce Website using Local Storage
HTML/CSS, JavaScript, NodeJS, MongoDB
- ›Designed and developed a user-friendly E-commerce platform leveraging JavaScript local storage for cart management
- ›Reduced server load and database queries by 40% before purchase completion
- ›Ensured mobile-first and WCAG 2.0 AA compliance for broader accessibility, exceeding typical industry practices
QR Code Verification System (Old Skool Labs Internship)
Excel, ProxyMesh, ChromeDriver, Google Apps Script, AutoCrat
- ›Automated QR code Employee credential verification using Google Apps Script and Excel
- ›Cut manual processing time by 70% and doubled throughput
Multi-Agent Code Analysis & Orchestration Engine
Python, FastAPI, LangGraph, Vector Search, Git
- ›Architected a state‑machine execution framework utilizing LangGraph and Python to traverse multi‑step decision graphs and orchestrate agent tool‑calling workflows.
- ›Implemented semantic code search using vector embeddings (FAISS) and structured prompt schemas, enabling dynamic context retrieval for large codebases.
- ›Formulated deterministic evaluation suites to benchmark agent tool accuracy, defect detection precision, and refactoring intelligence across dynamic inputs.
AST-Based Dependency & Static Code Graph Parser
Python, Tree-Sitter, NetworkX, Docker
- ›Built a static analysis utility parsing multi‑file code repositories into ASTs to extract symbol references, function definitions, and import hierarchies.
- ›Constructed directed dependency graphs (DAGs) using NetworkX to identify circular imports, dead code paths, and architectural anti‑patterns across 100+ module repositories.
- ›Packaged the service into a lightweight Docker container exposing a FastAPI service for fast, deterministic codebase indexing.
Distributed High-Concurrency Task & Event Scheduler
Python, Redis, WebSockets, REST APIs
- ›Developed an asynchronous job scheduler leveraging Redis queue mechanics to manage rate‑limited execution tasks with automated backoff and error logging.
- ›Implemented real‑time telemetry streaming over WebSockets, tracking task completion latency, memory footprints, and pipeline health metrics.
- ›Ensured high availability and scalability for concurrent event processing in a distributed environment.
Trade Analyzer Bot
LangChain, LangGraph, Python, LLMs, Gen AI
- ›Architected a multi-agent AI trading system with 10+ specialized agents orchestrated via LangGraph, integrating 6 real-time data sources for technical, fundamental, and sentiment analysis.
- ›Built a robust evaluation pipeline combining LLM-as-Judge, ground-truth metrics, and factual-consistency checks, analogous to automated regression and functional test validation for AI-driven applications.
- ›Enabled structured reasoning and automated state management across agents, ensuring deterministic and auditable execution flows.
CRM System
React, Node.js, Express, SQLite3, REST APIs, JWT
- ›Developed a secure full-stack CRM platform with multi-role access control using RESTful APIs, JWT authentication, and role-based dashboards.
- ›Validated API endpoints for authentication, data integrity, and access control logic; analyzed database query logs to identify and resolve performance bottlenecks.
- ›Integrated real-time analytics and smart filtering, improving business efficiency by 50% through centralized data management.
Twitter Trends Analyzer
Python, Selenium, Web Automation, Data Processing
- ›Developed a browser automation system using Selenium to extract and process dynamic web data, implementing structured workflows for reliable, repeatable test-like execution.
- ›Cleaned and analyzed extracted trend data using Python, demonstrating proficiency in automation scripting and data-driven validation.
Achievements
Winner of HackAGeeek 2024 Hackathon (Organized by GeeksforGeeks)
Runner up in DPBH (Dark Pattern Buster Hackathon) 2023
2nd Runner up in KodeKurrent 2025 Hackathon (Organized by IEEE-RGIPT)
2nd Runner‑Up, KodeKurrent Hackathon (IEEE‑RGIPT 2025): Built and deployed an end‑to‑end automated algorithmic platform under a strict 24‑hour development sprint.
Runner‑Up, Dark Pattern Buster Hackathon (DPBH 2023): Engineered automated pattern analysis tools detecting deceptive interaction flows on web platforms.
Technical Peer Mentor: Mentored 30+ junior students in Data Structures & Algorithms (C++), Python engineering, and Git workflows.
Qualified GATE 2026 in Computer Science (AIR 4047) and Data Science & AI (AIR 4134)
Received Best Digital Wellness Innovation at Nitiquest 2026; ranked Top 12 out of 1400+ teams
2nd Runner-Up, KodeKurrent 2025 Hackathon (IEEE-RGIPT)
Winner, HackAGeeek 2024 Hackathon (GeeksforGeeks)
Top 5%, DPBH National Hackathon 2023 Final
Served as Teaching Assistant for Computer Programming and Differential Equations at RGIPT
Education
| Degree / Certificate | Institute / Board | CGPA / % | Year |
|---|---|---|---|
| B.Tech (CSE) + M.Tech (AI) | Rajiv Gandhi Institute of Petroleum Technology | 8.04 CGPA | 2022-2027 |
| Senior Secondary | CBSE Board | 92.0% | 2022 |
| Secondary | CBSE Board | 91.0% | 2020 |
| Integrated B.Tech in CSE + M.Tech in Artificial Intelligence | Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Bangalore, India | 2022 – 2027 | |
| Integrated Dual Degree — B.Tech CSE + M.Tech Artificial Intelligence | Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Bengaluru, Karnataka | CGPA: 7.97 | Sep 2022 – Apr 2027 |
Relevant Coursework
Data Structures & Algorithms
Graph Theory
System Design
Compilers & Automata Theory
Database Systems (DBMS)
Object‑Oriented Programming (OOP)
Extracurricular
Computer Programming Teaching Assistant
Rajiv Gandhi Institute of Petroleum Technology
Differential Equations Tutor
Rajiv Gandhi Institute of Petroleum Technology
Technical Peer Mentor
Rajiv Gandhi Institute of Petroleum Technology
Teaching Assistant for Computer Programming and Differential Equations
RGIPT