Headline

AI Evaluation specialist at Handshake

About

✨ About Me I’m an AI/ML Engineer with a strong foundation in Artificial Intelligence and a focus on building scalable, production-ready systems. I hold an MSc in Artificial Intelligence from the University of Southampton, where I worked across Computer Vision, Deep Learning, and Generative AI. My hands-on experience includes: -GAN-based image enhancement -Facial expression recognition -LLM-powered AI systems with RAG I’m particularly interested in the intersection of research and real-world deployment where models move beyond experimentation and into reliable, efficient systems. 🚀 What Drives Me I’m curious about: • Scaling ML systems • Optimisation and inference efficiency • LLM evaluation and reliability • Monitoring AI systems in production I care deeply about building AI that is not just intelligent but robust, measurable, and impactful. 💡 Let’s Connect I enjoy conversations about ML systems design, GenAI applications, evaluation challenges, and navigating early-career growth in AI. If you're building in this space — I’d love to connect. :)

Location

India

AI stack

claude code

deepseek

elevenlabs

hugging face

langchain

langfuse

Work experience

AI Evaluation Specialist at Handshake AI Fellowship, Jul 2026 - Present · 4 mos, Remote

AI/ML Engineer at ExamRoom.AI®, Jan 2025 - Jan 2026 · 1 yr 1 mo

AI Engineer at Embedite Private Limited, Jul 2023 - Dec 2024 · 1 yr 6 mos, Remote

Research Assistant at University of Southampton, Feb 2023 - Apr 2023 · 3 mos, City Of Southampton, England, United Kingdom, • Developed a custom software solution to manage databases and automate data processing, enhancing efficiency in data insights. • Designed and implemented a comprehensive dashboard for visualising UAV performance metrics and research data. • Applied project planning skills, delivering a fully functional model that met all technical and research requirements.

AI Intern at Auton Systems Private Limited, Feb 2021 - Apr 2021 · 3 mos, • Developed a software solution for streaming multiple camera nodes to a single WLAN network, enabling real-time industrial monitoring. • Optimised data processing workflows, reducing OCR error rates to 4%, improving accuracy in automated monitoring. • Ensured clean and maintainable code, contributing to the robustness of the system’s data-handling capabilities.

Education

Master's degree, Artificial Intelligence, University of Southampton

Bachelor of Technology - BTech, Computer Science, Bharati vidhyapeeth college of engineering