Yash Varma is an AI Product Engineer who builds full-stack products with AI at the core, taking production systems end to end from first prototype to deployment, with 10+ national hackathon wins, peer-reviewed research publications, and experience engineering platforms at Norxio, ConnectWise, Cartman Labs, and EaseworkAI. He is currently based in Dublin, Ireland pursuing an MSc in Computer Science at University College Dublin (UCD).

What are Yash Varma's core technical skills?

Yash Varma specializes in Python, TypeScript, Next.js, React, Node.js, Nest.js, FastAPI, Flask, PyTorch, Docker, PostgreSQL, MongoDB, Redis, and Vector Databases. In AI and Machine Learning, he has deep expertise in Enterprise RAG pipelines, Multi-Agent systems (CrewAI, Eliza OS), LLM fine-tuning (LoRA, PEFT, SFT), BERT, XGBoost, Computer Vision, and 100% SEO/Web performance auditing.

What is Yash Varma's educational background?

Yash Varma is pursuing an MSc in Computer Science (Negotiated Learning) at University College Dublin (UCD), Ireland (2026–2027) with coursework in Distributed Systems, Software Engineering, Advanced Machine Learning, and Multi-Agent Systems. He holds a Bachelor of Engineering in Artificial Intelligence & Machine Learning from SIES Graduate School of Technology, University of Mumbai (2022–2026) with a CGPA of 8.95/10.00.

What professional experience does Yash Varma have?

Yash Varma has worked across four key engineering roles: Founding Software Engineer at Norxio (handling B2B payment processing, Cloudflare Workers, Nest.js, and an AI translation pipeline with Redis caching that reduced API hits by ~90%), Engineering Intern at ConnectWise (engineered a RAG issue-analysis dashboard over 10,000+ JIRA tickets cutting triage time by ~75%), SDE Intern at Cartman Labs in San Francisco (shipped autonomous Twitter/X agents on Eliza OS and a Web3 community platform maintaining 99.5% uptime), and Full-Stack & AI Engineer Intern at EaseworkAI (automated procurement email workflows via CrewAI, FastAPI, and MS Graph API, accelerating turnaround by 60%).

What major hackathons has Yash Varma won?

Yash Varma has won 10+ major hackathons: 1st Place at The Great Bengaluru Hackathon (~5,000 participants) for LoanSaathi; 1st Place at GajShield Hack 8 (2,000+ participants) for Kavach.ai; 1st Place at Datathon 24 (2,000+ participants) for FinSaathi; Most Product Readiness at Hackcelestial 2.0 for SeaGuard (exhibited to Dr. V. Narayanan, Chairman of ISRO); 2nd Runner Up at AMD AI Sprint IIT Bombay for Cooperative Q&A Agents; 1st Runner Up at Hackanova 3.0 TCET for FactFinder; 1st Place at Cognition SIES GST; and 3× consecutive winner of Smart India Hackathon (SIH) Internal.

What research and publications has Yash Varma authored?

Yash Varma has authored/co-authored multiple papers and registered IP: S2VNet-CA (First Author thesis manuscript on cross-attention hyperspectral variability network); 'Attention Enhanced Speaker Representation with Contrastive Learning' (published at IEEE ICCUBEA 2025); 'Advanced Fake News Detection Using BERT and Ensemble Learning' (accepted at Springer ICDSM 2024); and 'Dimension Capture' (a registered software copyright with the Government of India in 2025 for high-precision ArUco computer vision measurement within 2 mm accuracy).

What services and engineering capabilities does Yash Varma offer?

Yash Varma offers four core engineering services: 1) Applied AI & Enterprise RAG Systems (custom agents, document extraction, fine-tuning); 2) Full-Stack Web & FinTech Platforms (Next.js frontends, microservices, payment gateways, Redis caching); 3) Workflow Automation & Ingestion Pipelines (cron ETLs, Microsoft Graph API, CI/CD); and 4) 100% SEO, AEO & Web Performance Auditing (Lighthouse 100/100, Schema.org JSON-LD, sub-200ms latency optimization).

How can I contact or hire Yash Varma?

You can reach Yash Varma via email at yashvarma2702@gmail.com, book a 30-minute consultation directly via Calendly at https://calendly.com/yashgv, or reach him via WhatsApp/Phone at +353 89 265 7183. His professional profiles are accessible on GitHub (https://github.com/yashgv) and LinkedIn (https://linkedin.com/in/yashvarma-in).

The Journal5 posts

Write-ups, not highlight reels

What was actually built during each win, and the technical decisions behind it.

Hackathon · April 13, 2025

1st Position at Gajshield KJSCE Hack 8

Building Kavach.AI, a malware detection systems using machine learning and Docker-based sandboxing.

Hackathon · February 2025

3rd Place at AMD AI Sprint Hackathon - IIT Bombay

Secured 3rd place in the AMD AI Sprint at IIT Bombay, building intelligent Q&A agents using LLaMA and Qwen models.

Hackathon · February 2, 2025

1st Position at Datathon KJSCE Hack 8

FinSaathi: An AI-powered financial tool for stock analysis, trading simulation, and real-time updates.

Hackathon · February 17, 2025

2nd Position at Hackanova 3.0 TCET

FactFinder: An AI-powered fake news detection platform using BERT and ensemble learning models.

Hackathon · March 16, 2025

1st Position at The Great Bengaluru Hackathon

LoanSaathi: A multilingual AI loan advisor helping users navigate complex financial documentation in 8 Indian languages.