- Software Engineer focused on building scalable applications, backend systems, APIs, and developer tools.
- AI/ML Engineer working with LLMs, Generative AI, RAG, Agentic AI, multimodal systems, and computer vision.
- Researcher with experience at IIT Roorkee and NIT Jamshedpur, and a published IEEE conference paper on multimodal deep learning.
- Interested in Continual Learning, Neural Memory, and Quantum Machine Learning, exploring approaches to more adaptive and efficient intelligent systems.
- Passionate about open-source development, system design, experimentation, and translating research into practical applications.
A selection of software engineering systems, intelligent agents, and experimental AI research.
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Autonomous AI software-engineering CLI agent that plans, inspects repositories, modifies code, recovers from failures, and delivers verified results. Stack: Python, OpenRouter, CLI |
Research architecture exploring continual learning paradigms, dynamic neural memory mechanisms, and adaptive systems designed to mitigate catastrophic forgetting. Stack: Python, PyTorch, Deep Learning |
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Empirical research framework benchmarking LLMs on standardized clinical diagnostic vignettes with multi-provider evaluation pipelines and diagnostic accuracy metrics. Stack: Python, Azure OpenAI, Google Gemini, Ollama |
Closed-loop, feedback-driven framework coupling Variational Quantum Circuit (VQC) design with LLM-guided architecture search for high energy physics applications. Stack: Python, PennyLane, PyTorch, Ollama |
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Unified AI-driven telemedicine ecosystem connecting patients, healthcare providers, and pharmacists with intelligent triage, prescription workflows, and digital consultations. Stack: React 19, JavaScript, Google Gemini AI, Node.js |
Local-first, privacy-focused AI workstation combining real-time streaming LLM conversation with on-device text-to-image and text-to-video generation. Stack: Python, Next.js 14, Ollama, ComfyUI, SD Turbo |
