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Durga Mohan Pendem

Full Stack Developer • Vizianagaram, India • d*****************@gmail.com • +91*******987 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Full Stack Developer with 0 years of experience building React and Node.js applications and integrating AI/ML features such as multi-agent systems and RAG to deliver data-driven interfaces and automation.

Technical Skills

Programming Languages: TypeScript,Python,Java
Web Technologies: REST APIs,GraphQL
Frameworks and Libraries: React.js,Next.js,Redux,Tailwind CSS,Node.js,Express.js,FastAPI,NumPy,Pandas,Scikit-learn,TensorFlow
Databases: SQL,MongoDB,MySQL,PostgreSQL,Redis,Firebase
Cloud and DevOps: AWS EC2, S3,Oracle Cloud OCI,Docker,CI,CD,Vercel
Data and Analytics: Large Language Models LLMs,Tableau,Power BI,Excel
Tools and Methodologies: Git,GitHub,Postman,VS Code,Jupyter Notebook,Figma
Skills: JavaScript ES6+
Frontend: HTML5,CSS3
Mobile & App Development: Flutter

Work Experience

Tata
India
Data Visualization Intern
Sep 2025 – Sep 2025
Internship at Tata supporting business analytics and data-visualization efforts to convert business datasets into interactive dashboards and insights.
Tech Stack: Python, Pandas, SQL, Tableau, Excel
  • Preprocessed and cleaned heterogeneous business datasets using Python and Excel to prepare source data for analysis and dashboarding.
  • Performed exploratory data analysis to identify key sales and operational trends, using Pandas and visual analysis to surface actionable KPIs for stakeholders.
  • Designed and developed interactive Tableau dashboards showing revenue, product mix, and regional performance to support monthly business reviews.
  • Implemented data aggregation and SQL queries to build efficient dataset extracts and reduce manual reporting steps used by analysts.
  • Automated routine data refresh workflows and Excel templates to shorten reporting preparation time and improve data consistency.
  • Presented findings and dashboard walkthroughs to cross-functional stakeholders, translating technical metrics into business recommendations.
Google
India
AI/ML Intern (AIML Program)
Mar 2026 – 31 March 2026
AI/ML internship through Google's AIML program focused on computer vision, neural networks, and product image search implementations.
Tech Stack: TensorFlow, Python, Neural Networks, Image Classification, Object Detection
  • Implemented convolutional neural network prototypes in TensorFlow for image classification tasks, iterating on architectures to improve validation performance.
  • Developed and evaluated object detection models, preparing labeled datasets and using model evaluation metrics to select best-performing checkpoints.
  • Built end-to-end model training pipelines including data augmentation, training loops, and validation steps to support reproducible experiments.
  • Explored image-search and retrieval techniques relevant to e-commerce product-image matching and documented approach trade-offs for product-relevance.
  • Applied model evaluation and feature analysis to diagnose errors, guide hyperparameter tuning, and improve precision/recall for vision tasks.
  • Produced technical write-ups and demonstration notebooks to communicate experiments and results to program mentors and peers.

Projects

Git Analyzer: GitHub Developer Intelligence Platform
Tools Used: React.js, TypeScript, Node.js, Express.js, GitHub API
  • Built a SaaS-style analytics platform that ingests GitHub repositories and surfaces developer and repository metrics such as language breakdown and contribution insights.
  • Implemented backend services in Node.js/Express to query GitHub APIs and normalize repository metadata for frontend visualization.
  • Created comparison dashboards and AI-driven profile intelligence using TypeScript and React to enable side-by-side developer and repo comparisons.
  • Designed modular frontend components and charts to visualize activity, languages, and commit patterns for developer insights.
Nova-Agent: AI-Powered Multi-Agent Assistant
Tools Used: FastAPI, React.js, LangGraph, Ollama, MongoDB
  • Developed an end-to-end multi-agent AI system integrating LangGraph and Ollama to orchestrate agent reasoning and task execution.
  • Built RESTful APIs with FastAPI for agent coordination and persisted session data and agent state in MongoDB.
  • Implemented voice and chat interfaces in React to enable natural interactions and demonstrated multi-agent workflows for task automation.
  • Engineered agent pipelines for prompt management, memory, and RAG-style retrieval to personalize user interactions.
Kirana Store Management System
Tools Used: Flutter, Dart, Firebase
  • Built a cross-platform Flutter app for retail store management supporting inventory tracking, order processing, and customer records.
  • Integrated Firebase for authentication, realtime data sync, and cloud storage to enable role-based operations and offline-capable workflows.
  • Implemented UI screens and business logic for stock management, sales recording, and basic reporting suited to small retail workflows.
Power BI Sales Analytics Dashboard
Tools Used: Power BI, SQL, Excel
  • Created an interactive Power BI dashboard to visualize sales performance, revenue trends, and business KPIs from SQL and Excel datasets.
  • Designed model relationships and DAX measures to support cross-filtering and drill-downs for sales and product analytics.
  • Delivered visualizations that supported monthly reviews and helped stakeholders prioritize high-impact sales opportunities.

Education

Maharaj Vijayaram Gajapathi Raj College of Engineering, Vizianagaram, AP
Bachelor of Technology, Computer Science Engineering • Vizianagaram, AP, India • 2023 – 2027

Certifications

AWS Data Engineering — AWS
AWS Academy Graduate – Machine Learning Foundations — AWS
AWS Cloud Foundations — AWS
Oracle Cloud Infrastructure (OCI) AI Foundations Associate — Oracle • 2025
Generative AI: Introduction and Applications — IBM
Foundations of Project Management — Google

Achievements

  • Winner — HackerRank Hackathon (built full-stack + AIML MVP in 24 hours) — 2026: Selected as winner among 100+ teams for a 24-hour hackathon by HackerRank; delivered an integrated full-stack and AI/ML MVP.

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