Featured
2025
Realtime Collaboration Board
A multiplayer whiteboard with live cursors, presence and conflict-free syncing, built for distributed teams that brainstorm together.
Open to new opportunities
Hi, I’m Navneet.
Software Engineer & Researcher
I design and build reliable, user-focused software and explore research ideas that make technology more useful — from clean interfaces to the systems that power them.
About me
Who I am
Navneet
I’m a software engineer who enjoys turning complex problems into simple, dependable products. I care about clean architecture, thoughtful user experience and code that’s a pleasure to maintain.
My work sits where engineering meets research: I like digging into how things work, prototyping ideas quickly and hardening the best ones into systems people rely on. Outside of work I contribute to open source, read papers and keep learning new tools.
- Software Engineer at Company Name
- Master’s in Computer Science, University Name
- Based in City, Country · open to remote
- 4+ Years building software
- 20+ Projects shipped
- 3 Research publications
- 10+ Open-source contributions
Projects
Things I’ve built
A selection of projects I’ve designed and built — from production web apps to research prototypes and open-source tools.
Featured
2025
LLM Evaluation Toolkit
An extensible toolkit for benchmarking language-model pipelines, with reproducible experiment configs and a dashboard for comparing runs.
2024
Distributed Job Scheduler
A fault-tolerant job queue with retries, priorities and dead-letter handling, designed to scale horizontally across workers.
2024
Research Paper Explorer
Semantic search across research papers using embeddings, plus interactive citation graphs that make related work easier to discover.
2023
Dev Productivity CLI
A fast command-line tool that automates repetitive project chores such as scaffolding, release notes and environment checks.
2026
This Portfolio
The site you’re on: a fast, accessible single-page portfolio with dark mode, scroll-spy navigation and a working contact form — no framework needed.
Research
Research & publications
I enjoy research that bridges theory and practice — ideas that hold up both in the lab and in production.
Research interests
Google Scholar profileEfficient Fine-Tuning Strategies for Domain-Specific Language Models
Abstract
We study parameter-efficient methods for adapting large language models to specialised domains with limited labelled data, and show that careful adapter design recovers most of the quality of full fine-tuning at a fraction of the training cost.
Scalable Scheduling for Heterogeneous Compute Clusters
Abstract
We present a scheduler that places mixed CPU and GPU workloads across heterogeneous clusters, improving utilisation and job completion times on traces from a shared research cluster.
Evaluating the Robustness of Retrieval-Augmented Generation Pipelines
Abstract
We introduce a benchmark of realistic perturbations — noisy documents, conflicting sources and adversarial queries — and use it to measure how retrieval-augmented generation systems fail, along with simple mitigations.
Experience
Where I’ve worked
Teams I’ve been part of and what I worked on — building products, running experiments and learning along the way.
Work
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– Present
Software Engineer
Company Name · City, Country
- Build and maintain customer-facing features across a TypeScript/React front end and Python services.
- Led the redesign of a core workflow, making it faster and easier to use.
- Mentor interns and champion code quality through reviews, testing and documentation.
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Graduate Research Assistant
University Lab Name · City, Country
- Researched efficient training methods for language models, leading to two co-authored papers.
- Built reproducible experiment pipelines that the whole lab adopted.
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Software Engineering Intern
Company Name · Remote
- Shipped an internal analytics dashboard used by the product team.
- Automated release checks in CI, reducing manual work before each deploy.
Education
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–
Master’s in Computer Science
University Name
Focus on machine learning and distributed systems. Thesis on efficient model adaptation.
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Bachelor’s in Computer Science
University Name
Coursework in algorithms, operating systems, databases and networks.
Skills
Tools of the trade
The languages, frameworks and tools I reach for to bring ideas to life.
Languages
Frontend
Backend
AI / ML
Cloud & DevOps
Practices
Currently exploring
Contact
Let’s connect
Have an opportunity, a research collaboration or just want to say hi? Send me a message — I’ll get back to you as soon as I can.
- Email hello@example.com
- LinkedIn linkedin.com/in/your-profile
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Location City, Country · open to remote
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Response time Usually within 1–2 days