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Ibuildsystemsthatship.

Product Engineer who turns ambiguous problems into software people can actually use. I build end to end products across Full-Stack Engineering, Applied AI and Automation, from first prototype to production.

Now
MSc Computer Science, University College Dublin (UCD)
Previously
Founding Engineer at Norxio · ConnectWise · Cartman Labs · EaseworkAI
Track record
10+ hackathon wins, 2 papers published/accepted, registered copyright

Hackathon wins

2024 – 2025

Most of my projects started at a hackathon, against a clock. These are the ones that won.

The Great Bengaluru Hackathon: LoanSaathi
1stThe Great Bengaluru Hackathon
LoanSaathi · ~5,000 participants
GajShield Hack 8, KJSCE: Kavach.ai
1stGajShield Hack 8, KJSCE
Kavach.ai · 2,000+ participants
Datathon 24, KJSCE: FinSaathi
1stDatathon 24, KJSCE
FinSaathi · 2,000+ participants
Hackcelestial 2.0: SeaGuard (Most Product Readiness)
BestHackcelestial 2.0
SeaGuard (Most Product Readiness) · 250+ participants
AMD AI Sprint, IIT Bombay: Intelligent Cooperative Q&A Agents
3rdAMD AI Sprint, IIT Bombay
Intelligent Cooperative Q&A Agents · ~200 participants
Hackanova 3.0, TCET: FactFinder
2ndHackanova 3.0, TCET
FactFinder · ~2,500 participants
Conquer Space Exhibition: SeaGuard, shown to Chairman of ISRO Dr. V. Narayanan
ISROConquer Space Exhibition
SeaGuard, shown to Chairman of ISRO Dr. V. Narayanan · State Exhibition

Also 1st at Cognition SIES GST, 3× Winner of Smart India Hackathon (SIH) Internal (2023, 2024, 2025), Top 12 Finalist at Sarvam BuildIn' Hours (2026), and Top 20 in CodeChef Turing Cup.

All achievements

Selected work

7 projects
  • 01

    Kavach.ai

    A desktop cybersecurity suite for malware threat triage. Detonates suspect binaries in an isolated Docker sandbox, uses an XGBoost model trained on ~184 GB of malware, and leverages LLaMA 3.2 to explain verdicts in plain language.

    Electron.js, Python, Flask, Docker, XGBoost, LLaMA 3.2

    1st of 2,000+ teams, GajShield Hack 8Code
  • 02

    LoanSaathi

    A 24-hour multimodal loan assistant that extracts loan documents with PaddleOCR, identifies predatory clauses via Mistral Saba 24B and fine-tuned FinLLaMa, and guides EMI calculations across 8 Indian languages.

    FastAPI, Next.js, MongoDB, Supabase, Mistral Saba 24B, FinLLaMa, PaddleOCR, Sarvam AI

    1st of ~5,000, Great Bengaluru HackathonCode
  • 03

    SeaGuard

    A maritime safety and fishing zone assistant predicting Potential Fishing Zones (PFZ) at ~97% accuracy from satellite and weather telemetry using TensorFlow, with SOS alerts and maritime boundary warnings. Exhibited to the Chairman of ISRO in 2025.

    React Native, FastAPI, TensorFlow, Python, Supabase, Sarvam AI

    Most Product Readiness, Hackcelestial 2.0Code
  • 04

    Intelligent Cooperative Q&A Agents

    Two fine-tuned models cooperating under a 24-hour AMD GPU constraint: a Qwen-3 4B question generator trained on domain texts & OEIS data, and an answer solver using LLaMA 3.2 3B with multi-pass verification.

    Qwen-3 4B, LLaMA 3.2 3B, PyTorch, SFT, AMD GPUs

    2nd Runner Up, AMD AI Sprint at IIT Bombay
  • 05

    FinSaathi

    An AI finance platform for stock analysis, trade simulation, and government scheme eligibility discovery, featuring live stock alerts delivered directly on WhatsApp via Twilio.

    Next.js, Flask, PyTorch, MongoDB, Twilio

    1st of 2,000+, Datathon 24Live Code
  • 06

    FactFinder

    An AI-powered fake-news detection platform combining contextual BERT representations with classical ML ensemble classifiers (~95% accuracy on 72k WELFake dataset). Evolved into a Springer ICDSM conference paper.

    Python, Flask, BERT, Machine Learning

    1st Runner Up, Hackanova 3.0Code
  • 07

    Dimension Capture

    An ArUco marker computer vision measurement system measuring single and multi-object dimensions from 10 cm to 5 m within 2 mm accuracy at ~90% lower cost than LiDAR. Registered Software Copyright, 2025.

    Python, OpenCV, Computer Vision, ArUco

    Registered Software Copyright (2025)

Right now I'm building eivora.app, apios.eivora.app and webaudit.eivora.app.

Full case studies

Experience

2024 – 2026
  • May – Jul 2026

    Norxio

    Founding Software Engineer · UK, Remote

    Designed core B2B payment processing and internal dashboards in Next.js and Nest.js covering FX conversions and merchant reconciliation. Built low-latency Cloudflare Workers services and a multilingual Sanity CMS + OpenAI API pipeline with Redis caching that cut repeat translation API hits by ~90% while maintaining a 100% SEO score.

    ~90%
    fewer translation API calls
  • Jun – Jul 2025

    ConnectWise

    Engineering Intern · Mumbai, On-Site

    Built a RAG dashboard over 10,000+ Jira tickets that cut manual triage time by about 75%. Engineered a cron-scheduled data ingestion pipeline handling 10,000+ records/day with incremental delta updates and automated deployment via GitLab CI/CD. Offered a full-time role.

    ~75%
    less manual triage
  • Jan – Feb 2025

    Cartman Labs (Slaps)

    Software Development Engineer Intern · San Francisco, Remote

    Shipped an autonomous X/Twitter social media agent using Next.js, Python, MongoDB, and the Eliza OS framework. Built a Web3-authenticated community platform deployed across DigitalOcean VMs and Vercel, maintaining ~99.5% uptime and sub-200ms API response times.

    99.5%
    uptime
  • Apr – Jul 2024

    EaseworkAI

    Full-Stack & AI Engineer Intern · Canada, Remote

    Automated supplier-buyer procurement email workflows using CrewAI multi-agent orchestration, Microsoft Graph API, FastAPI, and LLMs, achieving ~60% faster response turnaround. Deployed backend services and relational/NoSQL databases on GCP.

    ~60%
    faster turnaround

Education

  • University College Dublin (UCD)
    MSc in Computer Science (Negotiated Learning)
    Sep 2026 – Sep 2027
  • SIES Graduate School of Technology (University of Mumbai)
    BE in Artificial Intelligence & Machine Learning (CGPA: 8.95/10.00)
    Aug 2022 – Jun 2026
Full experience

Research

IEEE · Springer
  • 2026
    S2VNet-CA: Cross Attention Enhanced Subpixel Spectral Variability Network
    First Author, Final Year Thesis Manuscript in Preparation
  • 2025
    Attention Enhanced Speaker Representation with Contrastive Learning
    Co-author, Published at IEEE ICCUBEA
  • 2024
    Advanced Fake News Detection Using BERT and Ensemble Learning
    Co-author, Accepted Conference Paper at Springer ICDSM
  • 2025
    Dimension Capture: High-Precision ArUco Computer Vision System
    Registered Software Copyright
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