ArnavAngarkar
Full Stack Developer & AI/ML Engineer
I build innovative solutions at the intersection of web development and artificial intelligence. From dynamic web applications to ML-powered systems, I bring ideas to life with clean code and cutting-edge technology.
About Me
Hi! I'm Arnav Amit Angarkar, a passionate Computer Science undergrad at IIIT Dharwad. I love building things that matter—whether it's automating drones for ISRO, deploying ML models at IISc, or creating web apps for students. I thrive at the intersection of AI, software engineering, and real-world impact.
My journey has taken me from hackathons and open-source bug bounties to research internships and startup projects. I enjoy working on challenging problems, collaborating with diverse teams, and learning new technologies every day.
When I'm not coding, you'll find me leading on the basketball court, organizing events, or exploring the latest in AI and cloud tech.
Work Experience
Poonawalla Fincorp
On-site
ML/AI Intern
- Engineered a cutting-edge machine learning pipeline that revolutionized operational workflows, achieving breakthrough improvements in automation and data processing efficiency.
- Developed and deployed a model that delivered an annual business cost savings of over ₹2 Crore + by driving process optimization and resource allocation.
- Collaborated closely with interdisciplinary teams to integrate AI-driven solutions that enhanced both accuracy and scalability across key business operations.
QWorld
Remote
Quantum Intern | Project Lead
- Leading a QWorld project (PAQ) to build an interactive, game-based learning platform for quantum computing.
- Designing modules on Bell states, CHSH inequality, quantum tunneling, decoherence, and quantum foundations.
- Managing a cross-functional team of 5 to integrate storytelling, quantum logic, and game mechanics.
January 2025 – Present
Founder & CEO
- Founded and leading CampusDabba, a dynamic campus marketplace for students to buy, sell, and exchange goods/services.
- Built the entire platform from concept to deployment using Node.js, TypeScript, Express.js, MongoDB, React, and Next.js.
- Implemented secure user authentication, real-time chat functionality using WebSockets, and optimized backend APIs.
- Successfully launched the platform and managing business operations, user acquisition, and product development.
IISc (Indian Institute of Science) – RIMM Lab
Bangalore
ML/AI Intern | Smart Mirror Project
- Developing a Virtual Try-On system using real-time body landmark detection and computer vision.
- Implemented garment overlay using webcam input, with segmentation-based garment alignment.
- Built lightweight multimodal AI pipelines optimized for edge devices with privacy-first design.
ISRO Grand Challenge
India
Project Manager | Drone Automation & Integration
- Developing a fully autonomous drone solution—Top 28 of 2000+ teams nationally.
- Built object detection systems using OpenCV, YOLOv5, and PyTorch for safe landing.
- Designed MAVLink-based GCS, real-time telemetry dashboards, and 3D flight visualizations.
- Integrated Jetson Nano, Pixhawk, LiDAR, Depth Camera for AI navigation, SLAM, and obstacle avoidance.
IISc – CPDMed TBI (Aarnaq Project)
Bangalore
ML/AI Intern
- Contributed to a GoK-DULT funded urban mobility project using advanced ML-based object detection.
- Optimized CV pipelines and trained detection models for enhanced visual processing.
Brahmand - Vishwakosha
Pune
Research Intern
- Revamped https://www.brahmandexploration.com/ to create a dynamic digital encyclopedia of the cosmos.
- Improved user experience, content accessibility, and site performance.
Brahmand - YantraSoft
Pune
AI Chatbot Developer
- Designed and implemented an AI chatbot to streamline the satellite development knowledge base.
- Improved NLP response accuracy and user engagement through iterative model refinement.
Vocab.AI
Dharwad
ASR Cloud Intern
- Worked on Automatic Speech Recognition (ASR) models and explored deployment workflows on Google Cloud Platform.
- Gained experience in acoustic modeling and cloud-native ML practices.
Projects
CerebrumAI – Offline-First Multimodal Healthcare Triage Engine
January 2025 – PresentFlutterReactTypeScript+10 more
- Built a privacy-first, AI-powered triage system enabling early detection of mental and cognitive disorders via multimodal inputs (text, image, behavior, voice).
- Designed modular architecture with quantized LLMs (Phi-2, Bio-Medical LLaMA-3-8B) and singleton pattern for real-time model switching and performance optimization.
CampusDabba
January 2025🌐 campusdabba0.netlify.appNode.jsTypeScriptExpress.js+5 more
- Developed a dynamic campus marketplace for students to buy, sell, and exchange goods/services within the college community.
- Implemented secure user authentication and real-time chat functionality using WebSockets.
Dynamic API for NoSQL Query
December 2024MongoDBPyMongoPostman+3 more
- Developed a backend API that performs upsert operations (single and bulk operations) in MongoDB. The API allows users to specify collection name, filter conditions, and update fields.
- Implemented flexible input handling for unstructured data in filter and update operations.
Binary Classification Web App
December 2024StreamlitPythonScikit-learn+2 more
- Built a powerful web application using Streamlit to predict binary outcomes, allowing users to classify data points as belonging to one of two classes.
- The app leverages multiple machine learning classifiers, including Support Vector Machine (SVM), Logistic Regression, and Random Forest, to deliver accurate predictions on any given dataset.
AutoML-MLOps Platform Prototype
October 2024H2O.aiMLflowStreamlit+4 more
- Designed an end-to-end AutoML platform with automated model training, experiment tracking, and task orchestration for machine learning workflows.
- Implemented a user-friendly interface using Streamlit and integrated LLM-based bot features for user guidance.
Health Hub 360
September 2024FlaskJinjaHTML+3 more
- Developed a digital platform to assist patients in managing booking appointments, and connecting with healthcare providers.
- Implemented features for automated inventory management of medicines in hospitals and clinics.
BMP Image Filter
August 2024CCommand LineMakefile
- Developed a command-line tool that applies various filters (grayscale, sepia, reflection, blur) to BMP image files.
- Implemented algorithms to process image data efficiently, ensuring high-quality output while optimizing for speed.
Customer Service Conversation Analyzer
March 2024PythonNLPMachine Learning+4 more
- Developed a sophisticated real-time conversation analysis system for customer service calls.
- Implemented speech-to-text using OpenAI's Whisper and sentiment analysis with BERTweet.