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Internship Experience
  • •Developed and deployed a Kotlin-based Android app for multicast audio streaming over WiFi, enabling synchronized playback across multiple devices with <3s dynamic peer connection time.
  • •Designed a Python + SQLite backend, hosted on AWS EC2, and automated deployments via CI/CD pipelines, reducing manual deployment time by 80%.
  • •Boosted audio transmission throughput from 130 kbps to 225+ kbps using adaptive link tuning and real-time packet size optimization.
  • •Ensured network reliability and minimized latency through Wireshark-based debugging, NSD-based auto-discovery, and efficient byte-wise streaming.
    • Projects
  • •Built a GenAI app for interactive querying and chat across multiple document types(PDFs, websites, CSVs, JSON, handwritten notes), supporting 5+ concurrent sources.
  • •Engineered backend pipelines for efficient text extraction using PyPDF2, BeautifulSoup, and Google Cloud Vision OCR, with session-based rate limiting at 25 pages per session to optimize resource utilization.
  • •Integrated a vector database (ChromaDB) and sentence-transformer embeddings to power RAG and orchestrate LLMs, enhancing information retrieval accuracy and automation.
  • •Built a real-time AI agent for interactive STT and TTS, supporting web sessions (LiveKit) and phone calls (Twilio), with open-source LLMs.
  • •Utilized asynchronous programming and VAD for low-latency, seamless user experience.
  • •Integrated analytics to log key performance metrics (TTFB, TTFT, EOU) for monitoring and optimization using Pandas.
  • •Designed and implemented a scalable backend architecture using Flask and Python to dynamically generate aptitude-based MCQs, leveraging the Llama-2-7b model for contextual question creation.
  • •Developed robust RESTful API endpoints for seamless integration with external platforms, supporting real-time answer validation and secure user authentication.
  • •Engineered a responsive, user-friendly frontend with HTML, CSS, and JavaScript, enabling timed assessments, live score tracking, and adaptive UI for mobile and desktop users.
  • •Architected a stateful AI agent with LangGraph to manage cyclical, multi-step conversational dialogues.
  • •Automated the end-to-end candidate screening process, from initial data intake to final scorecard generation.
  • •Engineered a real-time sentiment & intent analysis module to classify and handle unprofessional responses.
  • •Built and integrated a custom tool for web scraping of candidate's GitHub profile or portfolio.
    • Skills
    Programming Languages: C++, C, Python, Java
    Frameworks: FastAPI, Flask, Django, Android SDK
    Relational/NoSQL Databases: MySQL, PostgreSQL, Redis, Firebase
    Version Control & Tools: Git, GitHub, Android Studio, Postman, Docker
    AI/ML & LLMs: Supervised/Unsupervised Learning, Deep Learning, NLP, PyTorch, LangChain, LangGraph
    Coursework Subject:: Computer Networks | Database Management Systems | Object-Oriented Programming (OOPs) | Operating Systems | Data Structures & Algorithms
    Achievements
  • •Selected for Keploy API Fellowship(1,000 selected out of 18,500 applicants), gaining hands-on experience in open-source contribution, QA & Software Testing .
    • Education
    Kalinga Institute of Industrial Technology (KIIT), B.Tech in Electronics and Computer Science | CGPA (6th Sem) - 8.57
    2022 – 2026 | Bhubaneswar, Odisha