I’m a Software Engineer specializing in Backend Systems, Data Engineering, and Applied AI — building reliable, scalable solutions that combine strong engineering fundamentals with intelligent automation.
My experience spans microservices, distributed systems, and ML pipelines — from building API-driven architectures to deploying production-grade AI systems in the cloud.
- ⚙️ Backend & API Engineering (FastAPI, Node.js, Express)
- 🧠 AI/ML Systems (LLMs, NLP, Transformers, LangChain, PyTorch)
- ☁️ Cloud + DevOps (Azure, AWS, Docker, K8s, CI/CD)
- 📈 Observability, testing & performance monitoring (ELK, Prometheus, Grafana, CloudWatch)
- 🧩 Always exploring how data, AI, and backend architecture converge to create impactful systems.
I’m working on a bias evaluation project, trying to understand how fairness metrics vary across different LLMs — it’s been both fascinating and tricky to quantify.
I’ve also been experimenting with automation pipelines like n8n, exploring how backend tasks can trigger and connect seamlessly.
Lately, I’ve been diving into system design for large-scale systems, learning about sharding, load balancing, and message queues — and how real-world systems stay resilient under load.
And I’m getting hands-on with LLM frameworks such as LlamaIndex and MCP, building small agentic components to see how modular architectures actually work in practice.
Explore more projects on my GitHub Repositories
🏅 Winner – Ayushman Bharat Digital Mission Hackathon (National Health Authority, India)
🏅 Winner – Smart India Hackathon (Ministry of Education, Govt. of India)
🏅 Winner – ACM-W India 4th National Hackathon
🏅 Winner – SoCal CSUF × Alteryx Datathon (2024)
M.S., Computer Science — California State University, Fullerton (2024 – 2025)
B.E., Computer Engineering — Savitribai Phule Pune University (2017 – 2021)
- 🎓 Teaching Associate (Ethics in Computing, CSUF) - Designed and delivered lectures on professional ethics and computer reliability; assisted in Object-Oriented Programming (OOP) lab sessions, helping students grasp core principles like inheritance, polymorphism, and design patterns.
- 🧑🏫 Research & Mentorship — Guided student projects on AI integration, NLP pipelines, and responsible AI under Prof. Paul Inventado.
- 🌍 Hackathon Mentor & Participant — Participated and won multiple national-level hackathons (Smart India Hackathon, ACM-W, ABDM, SoCal Datathon).
- 💬 Community Engagement — Actively involved in women-in-tech and AI advocacy initiatives, promoting inclusion and accessibility in computing.
- 🤝 Volunteer Work — Collaborated with NGOs to analyze education data, automate reporting workflows, and design dashboards to improve resource allocation.
- 🏅 Conference Participation — Attending Grace Hopper Celebration (GHC’25) and WE25, showcasing projects in AI, data systems, and automation.
⭐️ *Thanks for visiting! Open to collaborations in Backend Engineering, Data Science, and AI Systems.*