Anmol Sharma
@anmolsharma5
Full-stack developer and AI/NLP researcher building real-time, IoT-connected experiences and LLM evaluation systems.
What I'm looking for
I’m a B.Tech Computer Science and Engineering student at IIIT Hyderabad, with a strong focus on building end-to-end products—from systems-level reliability to user-facing real-time experiences. I enjoy turning research insights into practical implementations, and I’m equally comfortable working across frontend, backend, and IoT.
In my Full Stack Developer Intern role at RBuy Smart Refill, I built and deployed an end-to-end application for production IoT-enabled refill kiosks. I handled Bluetooth discovery, live inventory checks, stateful kiosk sessions, and multi-payment workflows using Razorpay and Stripe, and rolled the solution out across multiple kiosk sites.
As a Freelance Web Developer, I designed and deployed responsive React-based web interfaces with mobile-first design, performance optimization, and cross-browser compatibility. I also built projects like Felicity (React.js/Node.js/Express.js with JWT, Socket.IO, role-based workflows, and QR ticketing) and a Flask-based Photo Slideshow app with persistent MySQL storage and server-side multimedia pipelines.
On the AI/NLP side, I do LLM reasoning evaluation research—studying plausibility and reasoning effects across multilingual settings and comparing activation steering with contrastive LoRA fine-tuning. I care about measurement-driven iteration, so I design pipelines that test what models do in practice, and I pair them with systems thinking (e.g., POSIX shells, reliable UDP protocols, and xv6 scheduler extensions).
Experience
Work history, roles, and key accomplishments
Full Stack Developer Intern
RBuy Smart Refill
Jan 2026 - Apr 2026 (3 months)
Developed an end-to-end Flutter application for production IoT-enabled refill kiosks, including Bluetooth discovery, live inventory checks, refill control, and user purchase workflows deployed across multiple kiosk sites. Implemented real-time monitoring and stateful kiosk sessions with Razorpay and Stripe multi-payment workflows.
NLP Research
IIIT Hyderabad
Evaluated reasoning and semantic plausibility effects in language models across English and 11 multilingual settings, comparing activation steering with contrastive LoRA fine-tuning. Conducted layer-wise linear probing and activation patching, and designed a retrieve-first pipeline for distractor-premise settings.
Freelance Web Developer
Freelance
Designed and deployed responsive React-based web interfaces with mobile-first design, performance optimization, and cross-browser compatibility.
Education
Degrees, certifications, and relevant coursework
IIIT Hyderabad
Bachelor of Technology (B.Tech), Computer Science and Engineering
Studied a B.Tech in Computer Science and Engineering, covering coursework in Data Structures & Algorithms, Machine Learning, Operating Systems, Computer Networks, Probability & Statistics, and Embedded Systems.
Availability
Location
Authorized to work in
Job categories
Skills
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