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divysaxena24/README.md


🌐 Connect With Me


πŸš€ About Me

πŸŽ“ B.Tech in Computer Science Engineering at SRM University AP (2024 – 2028) | CGPA: 9.25/10
πŸ”¬ Ex-Research Intern in Parallel Computing & Graph Algorithms at IIIT Hyderabad
πŸ€– Ex-AI Automation & Web Development Intern at PIVOT Automations
πŸ’‘ Hackathon Enthusiast: Top 45 Team in Smart India Hackathon 2025 & 2026 | Runner-Up at Reckon 7.0 Hackathon
🧠 Open Source Contributor: 45+ PRs submitted, 18+ merged across 5+ repositories (GSSoC & OSCI)


πŸ’Ό Experience

πŸ”¬ Research Intern β€” Parallel Computing & Graph Algorithms

International Institute of Information Technology Hyderabad (IIITH) (May 2026 – July 2026 | Hyderabad, India)
Supervised by Prof. Kishore Kothapalli, Dean of Academics

  • Graph Algorithm Optimization: Optimized BFS-based triangle counting on large-scale graphs using OpenMP and edge-level parallelism, achieving a 6x speedup (900ms β†’ 150ms) on the SNAP ego-Facebook dataset (88K nodes, 1.3M edges).
  • Concurrency & Synchronization: Implemented horizontal edge filtering to reduce thread synchronization overhead, improving scalability across 8+ CPU cores with minimal lock contention and cache-coherency overhead.
  • Research Documentation: Produced comprehensive technical reports documenting algorithmic optimizations, performance benchmarks, and parallel design patterns.

πŸ€– AI Automation and Web Development Intern

PIVOT Automations (Feb 2026 – Apr 2026 | Remote)

  • Workflow Automation: Built 20+ n8n automation workflows, reducing manual process time by 40% across client ticket routing, document processing, and email pipelines.
  • API Engineering: Designed and deployed fault-tolerant REST APIs orchestrating 1,000+ monthly automated executions with retry mechanisms, async notifications, and error handling.
  • SaaS Integrations: Integrated third-party platforms (Slack, Google Workspace, ticketing systems) using custom JavaScript handlers, improving data consistency and reducing human error by 95%.

πŸ› οΈ Tech Stack

  • πŸ’» Languages: Java (Primary), Python, TypeScript, JavaScript
  • πŸ€– AI / ML & NLP: scikit-learn, XGBoost, Pandas, NumPy, Feature Engineering, Hyperparameter Tuning, Model Evaluation, NLTK, TF-IDF, Groq LLM, Prompt Engineering, SHAP, FAISS, Neural Networks, Backpropagation, CNNs, LSTMs
  • ☁️ MLOps & DevOps: MLflow, FastAPI, Docker, AWS (EC2, S3), GitHub Actions (CI/CD), Vercel, Streamlit, n8n
  • πŸ—„οΈ Backend & Databases: REST APIs, PostgreSQL, MongoDB, MySQL, Redis, Drizzle ORM, OAuth 2.0, Node.js, Express.js
  • βš›οΈ Frontend: React.js, Next.js, HTML5, CSS3, Tailwind CSS
  • πŸ§ͺ Testing & Tools: Vitest, Integration Testing, E2E Testing, Git, GitHub, Linux, Postman

πŸš€ Featured Projects

Production-grade GenAI career intelligence platform delivering personalized resume optimization, career coaching, and roadmap generation.

  • Tech Stack: Next.js, TypeScript, PostgreSQL, Drizzle ORM, Groq LLMs, Inngest, Clerk, Docker, GitHub Actions
  • Key Features: Engineered LLM-powered AI agents for multi-step career workflows and built a 3-pane Resume Architect featuring real-time diagnostics, live preview, PDF export, and low-latency Groq LPU inference.

Microservice platform predicting fraudulent job postings using machine learning and explainable AI.

  • Tech Stack: Python, XGBoost, FastAPI, Next.js, scikit-learn, MLflow, SHAP, Docker, GitHub Actions, Vercel
  • Key Features: Achieved an 82% F1-score training an XGBoost classifier on 17,880+ job postings. Integrated MLflow for experiment tracking, SHAP for model interpretability, and FastAPI microservice with inference caching.

Automated NLP application quantifying candidate-role compatibility and pinpointing skill gaps.

  • Tech Stack: Python, NLP, TF-IDF, Cosine Similarity, Streamlit, Docker, pytest, GitHub Actions (CI/CD), GHCR
  • Key Features: Built regex-based skill normalization to canonicalize variants across software domains. Deployed with 57 automated pytest tests, Docker containerization, and an interactive Streamlit UI.

Full-stack productivity hub orchestrating multiple SaaS integrations and communication channels.

  • Tech Stack: Next.js, TypeScript, Node.js, PostgreSQL, Drizzle ORM, OAuth 2.0, Docker, GitHub Actions
  • Key Features: Multi-service orchestration engine handling concurrent API requests and error isolation across Gmail, Google Calendar, Drive, GitHub, Discord, and Telegram with E2E testing and CI/CD pipelines.

πŸ† Achievements & Recognition

  • 🧩 LeetCode: Solved 370+ problems across Data Structures & Algorithms (Arrays, Graphs, Dynamic Programming, Trees). (Profile)
  • 🌐 Open Source: Contributed 45+ pull requests (18+ merged) across 5+ open-source repositories via GSSoC and OSCI.
  • πŸš€ Smart India Hackathon (SIH) 2025 & 2026: Cleared internal rounds and finished among the Top 45 teams out of 600+ teams in both editions.
  • πŸ₯‡ Reckon 7.0 Hackathon: Secured Runner-Up in the Simpli AI track for building an AI-driven solution.

πŸ“Š Stats & Activity


πŸ“« Let's Connect

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