AI / DATA ENGINEER

GLEN ELRIC
FERNANDES

I build intelligent systems from data, models, and APIs.

Mangaluru, India · Open to opportunities
Glen Elric Fernandes Portrait
yes, I actually build things
02 / SELECTED WORK

Things I've built

when I wanted to understand how something works
01

VARUNNETRA

Real-time maritime intelligence using AIS streams + RAG.

FAISS · Gemini · Flask · WebSockets
View case study →
VARUNNETRA Dashboard Mockup
02

AADHAAR DATA INSIGHTS

ML-powered analysis of 260M+ UIDAI transactions.

K-Means · Plotly · Python · Scikit-learn
View case study →
AADHAAR DATA INSIGHTS Dashboard Mockup
03

FEEDBACK.

Minimalist feedback sentiment engine and radar scoring.

FastAPI · React · MySQL · Radar Chart
View case study →
FEEDBACK. Dashboard Mockup
04

DATASYNTH

EDA and synthetic data generation platform.

Copulas · SDV · Streamlit · Python
View case study →
DATASYNTH Dashboard Mockup
05

AGRISCROW

Decentralized Web3 escrow marketplace on TON blockchain.

TON Blockchain · Tact · React · Vite
View case study →
AGRISCROW Dashboard Mockup
06

SLEUTHAI

OSINT-based pattern recognition and threat correlation.

Python · Flask · JavaScript · Network Mapping
View case study →
SLEUTHAI Dashboard Mockup
03 / ABOUT

A little about me

I like working where software, data and AI overlap.

I'm Glen, a computer science and data science engineer from Mangaluru. I build systems that turn messy data, documents, and real-world signals into useful products.

Most of my projects start with a simple question: "Can I build this myself?"

usually the answer is yes.

Currently

Building AI / data systems
Exploring agentic workflows
Looking for engineering opportunities
Learning by shipping
04 / EXPERIENCE

Professional timeline

places where I built things for real

AI R&D Software Engineer Intern

CHIAC-ASI, Panchasutra Ltd. · Sheffield, UK · Feb – May 2026

84-day, 672-hour AI R&D internship building production AI and full-stack systems spanning RAG, LLM orchestration, NLP, backend services, and SaaS development. Built a RAG-as-a-Service pipeline, a Multi-MCP AI Assistant, contributed to Aura LMS, and engineered a Feedback Intelligence Platform.

5production systems shipped
40%workflow time reduced
92%RAG retrieval accuracy
35%task latency reduced

Data Science Intern

CloudxLab · 2025

Built end-to-end ML pipelines for anomaly detection, automated EDA, and data quality. Developed Python-based modules that reduced manual data preparation and improved reliability.

40%manual effort reduced
100%data pipelines automated

UIDAI Data Hackathon

Unique Identification Authority of India · 2026

Analyzed 260M+ Aadhaar transaction records using K-Means clustering and predictive modeling to deliver data-driven optimization insights for India's digital identity system.

260M+transaction records
13interactive visualizations

CIDeCode Hackathon — Runner Up

PES University · OSINT Track · 2024

Developed SleuthAI, an OSINT pattern recognition tool integrating multi-source datasets with entity resolution to assist law enforcement mapping.

30%detection accuracy increase
28%false positives reduced

SJEC Premiere Hackathon — Runner Up

St. Joseph Engineering College · Agri Tech · 2023

Built Agriscrow, a smart contract escrow agricultural rental catalog on the TON blockchain with multi-user roles.

Top 2hackathon standing
Web3TON connect integrated
05 / TOOLBOX

Tools I actually use

no generic skill walls here

Languages

Python · SQL · JavaScript · TypeScript

AI / Data Science

Scikit-learn · Pandas · NumPy · FAISS · RAG · NLP · LLM APIs · Plotly

Backend Development

FastAPI · Flask · NestJS · REST · WebSockets

Frontend Development

React · Next.js · Vite · Tailwind

Infrastructure

Docker · GitHub Actions · Linux · GCP

Databases

PostgreSQL · MySQL · Redis
06 / THINGS I'M PROUD OF

Achievements & Academics

milestones worth noting

Best Outgoing Student

CSE-DS · St. Joseph Engineering College · 2026

Bachelor of Engineering (B.E.)

Computer Science & Engineering — Data Science Specialization · St. Joseph Engineering College · Expected 2026 (CGPA: 9.23)

UIDAI Data Hackathon

Analyzed 260M+ transaction records, developing forecasting & clustering models

CIDeCode Hackathon

Runner-Up in OSINT Track, PES University · 2024

TonHacker House

Top 10 Finalist, India Blockchain Week · 2024

NCC 'B' Certificate Top Ranker

Ranked 1st in unit exam, represented unit at National Yachting Camp
07 / CONTACT

Have a problem
worth building?

Let's talk.

glenelricfernandes@gmail.com
I'm always curious about interesting problems.