Systems & ML Engineer specializing in Edge AI, distributed architectures, and high-performance applications.
An advanced NLP web analyzer that dynamically crawls, deduplicates, and clusters content using K-Means and FAISS RAG for Llama-3 abstractive summaries.
View Details ↗Power-efficient embedded deployment on Raspberry Pi 4 using MobileNetV2. Optimized via ONNX runtime for motion-triggered inference (organic/plastic/metal/glass) using Pi Camera and LIDAR.
View Details ↗Real-time Omegle-style web application utilizing WebRTC with STUN/TURN and WebSockets signaling. Features queue management and NAT traversal logic for seamless peer-to-peer connections.
View Details ↗End-to-end classification pipeline featuring a TensorFlow model served via FastAPI. Delivers real-time 9-class pest identification through a REST API and a responsive web frontend.
View Details ↗Explored quantum machine learning by implementing a Variational Quantum Classifier (Qiskit). Engineered financial indicators to predict FTSE 100 direction with competitive test accuracy.
View Details ↗
Hi, I'm Ojaswi. I build highly performant, scalable systems that bridge the gap between heavy technical capability and seamless user experience.
With an academic foundation in Computer Science from VIT Amaravati, my focus lies in Machine Learning, Distributed Systems, and Real-Time Architectures. I specialize in taking algorithms from concept to production—whether that means optimizing neural networks for edge devices or designing precise real-time data processors handling massive concurrent loads.
Beyond code, I drive technical community growth as the Vice President & Founding Partner of the Entrepreneurship Club, a GSSoC'25 Tech Contributor, and an NEC Finalist.
Building the core engines with robust, typed, and scalable languages.
Deploying models to the edge with precision.
Real-time communication and seamless user interfaces.
Customize the portfolio's active accent color dynamically.
Co-founded and drove leadership as Vice President and Founding Partner of the Entrepreneurship Club at VIT Amaravati. Focused on C++, high-performance structures, and distributed backend networks.
Staged as a National Finalist in the National Entrepreneurship Challenge (NEC). Led structural development and incubated products bridging systems engineering with financial prediction models (O-Finance).
Contributed as a GSSoC'25 Tech Contributor. Partnered in designing decentralized models and WebRTC live media synchronization, while pushing architectural benchmarks to new heights.
Deepening specialization in compiling high-efficiency deep learning models for restricted edge computing environments and ultra-low-latency real-time signaling systems.
I’m always open to discussing new opportunities, collaborations, or ambitious ideas in software, distributed systems, and AI.
If you have a challenging problem worth solving, let’s talk.