Motto:
more and more miles to go before I sleep

• B.Tech in CSE (AI & ML), JNTU College of Engineering, Hyderabad
  GPA: 8.58
  2022–26

• Intermediate (TSBIE), Narayana Junior College, Nallakunta, Hyderabad
  Percentage: 95.2%
  2020–22

• Programming: Python, C++, Java, JavaScript, SQL/MySQL
• Full-Stack Development: Flask, Django, FastAPI, REST APIs, React.js
• Databases: MySQL, SQLite, PostgreSQL (basics)
• AI/ML & GenAI: TensorFlow, PyTorch, Scikit-learn, LangChain, RAG, Hugging Face, Prompt Engineering
• Data Engineering: ETL, Pandas, NumPy, Data Cleaning, Feature Engineering, PySpark (basics)
• Visualization: Matplotlib, Seaborn, Tableau/PowerBI (exposure), Streamlit
• Cloud/Deployment: Docker, Git, CI/CD pipelines, AWS (exposure)
• Core CS: Data Structures & Algorithms, OS, DBMS, Computer Networks, Agile Development Practices

AI/ML Intern – LOKACHAKRA (Startup)
May 2025 – July 2025

• Developed a Pitch Deck Analyzer using Agentic AI workflows (LLMs, API extraction, sentiment analysis).
• Automated interactive dashboards with Figma-based prototypes for tracking KPIs and metrics in real-time.
• Collaborated with product and strategy teams to align AI insights with business requirements.

AI/ML Intern – Infoshare
Aug 2025 – Oct 2025

• Built scalable data pipelines for preprocessing high-resolution satellite imagery (Sentinel-2, ResourceSat-2).
• Implemented deep learning models (U-Net, ChangeTransformer) for semantic segmentation and temporal analysis of geospatial data.
• Evaluated results with Jaccard Index, supporting infrastructure monitoring and geospatial analytics.
• Coordinated with cross-functional teams to translate technical outputs into actionable insights.

Real-Time Face Recognition Attendance System
Developed a CV-based attendance tracking system using Python, OpenCV, face-recognition, and Firebase Realtime Database. Implemented face encoding, webcam overlays, and automated attendance updates with time-reset logic for real-time cloud synchronization.

Campus RAG Chatbot Using Local LLMs
Built a Retrieval-Augmented Generation chatbot for JNTUH using LangChain, FAISS, and FastAPI. Integrated Google Maps API, academic datasets, fallback logic, and React frontend for scalable support automation.

Automated Offer Letter Generation System
Flask-based workflow to generate PDF offer letters from CSV data using the Groq API. Deployed via Docker for platform-agnostic automation, reducing manual HR effort by 80%.

• Building Local LLM Applications with Python & Ollama (API integration, RAG, LangChain)
• MCP: Build Rich-Context AI Applications with Anthropic (DeepLearning.ai)
• IBM AI Fundamentals (SkillBuild): NLP, Vision, AI Ethics
• DSA in Python (NPTEL, IIT Madras)
• Data Visualization: Forage (Business Framing, Insights Visualization)

• Problem Solving: Top 20% on LeetCode (500+ problems solved in C++)
• Leadership: Head, Literary Club – Organized 14+ campus-wide events, mentored juniors
• Innovation: Organizer, Karaoke Chaos (Quest 2025) – Designed a coding challenge blending logic and creativity under time pressure

• Reading books
• Playing table tennis
• Making fan edits