AI & DATA SCIENCE ENGINEER CHENNAI, INDIA

VIGNESH BALAMURUGAN

Portrait of Vignesh Balamurugan

BUILDING SYSTEMS THAT
REASON, VERIFY & SHIP.

PROFILE / 2026

I turn applied AI research into dependable products—from multi-agent workflows and RAG systems to computer vision and production backends.

03
AI internships
8.82
Current CGPA
GATE streams
01 / ABOUT ENGINEER + RESEARCHER

What I bring

Ideas are cheap.
Evidence is the work.

I am a B.Tech AI & Data Science student at IIIT Sri City who enjoys the difficult middle between a promising model and a system people can actually trust.

My work spans agent orchestration, retrieval and factual verification, vision research, backend architecture, evaluations, and deployment. I care about the unglamorous parts too: validation, failure states, audit trails, reproducible tests, and clear product decisions.

Discuss a role or collaboration
01 IIIT Sri City

B.Tech in AI & Data Science
2023–2027

02 Production-minded

From evaluation fixtures and test suites to cloud deployment.

03 Research-active

Computer vision and intelligent transportation manuscripts under review.

04 GATE 2026

Qualified in both Computer Science and Data Science & AI.

02 / EXPERIENCE RECENT ROLES

Work history

Building with
real constraints.

Ownership across AI architecture, backend reliability, and applied research—not isolated notebook demos.

07 / 2026NOW

GenAI Engineering Intern / AI Lead

ResonateAI

Leading a seven-member AI roadmap for an autonomous, multi-framework app-generation platform. Built the LangGraph Planner–Coder–Reviewer flow, structured validation, bounded repair, follow-up regeneration, and production queue integration.

  • LangGraph
  • Django
  • Celery
  • Redis
  • Groq
05 / 202606 / 2026

Backend Lead / AI Full Stack

The AI Signal

Designed Atlas Intelligence's modular backend and reliability layer, including source claims, confidence-based approval, conflict detection, manual review, audit logs, and deployed ingestion flows.

  • TypeScript
  • Hono
  • Prisma
  • Neon
  • Cloudflare
05 / 202507 / 2025

AI Research Intern

NIT Tiruchirappalli

Engineered a ViT–LSTM human-activity-recognition pipeline for video streams and an end-to-end video-captioning system. Co-authored research currently under review.

  • PyTorch
  • ViT
  • LSTM
  • OpenCV
  • Video AI
VIRTUALFORAGE

Data Analytics Virtual Internship / Job Simulation

Deloitte via Forage

Completed a practical analytics simulation covering data wrangling, KPI dashboard design, and insight synthesis on unstructured client datasets modeled on Deloitte consulting work.

  • Data Analytics
  • Data Wrangling
  • KPI Dashboards
  • Insight Synthesis
03 / SELECTED WORK COMPLETED SYSTEMS

Featured builds

Systems with
receipts.

Six projects selected for depth, reliability, and range. Every metric is scoped to its committed evaluation—not inflated into a universal claim.

04 / RESEARCH UNDER PEER REVIEW

Honors research

STRIDE.

Training-free lane discovery & travel-direction estimation for fixed traffic cameras.

STRIDE turns repeated vehicle motion into an interpretable map of road structure. It combines tracking, density and motion-coherence maps, circular statistics, and rule-based region extraction—without training a lane-segmentation model.

The current revision evaluates the method across 47 UA-DETRAC scenes. Public wording here stays deliberately conservative while review is ongoing.

Explore the research repository
MAJOR REVISION

International Journal of Intelligent Transportation Systems Research

Journal manuscript IJIT-D-26-00620 remains under peer review. Revision work is in progress; this is not an acceptance claim.

JOURNAL TRACK / IJITSR
UNDER REVIEW

IDICON Conference Submission

The conference version is currently under review. Acceptance and publication details will be added only after an official decision.

CONFERENCE TRACK / IDICON
05 / SKILLS TECHNICAL ARSENAL

Capability map

Technical skills
built for delivery.

01

Intelligence

LangGraph · LangChain · MCP · RAG · FAISS · ChromaDB · Hugging Face · Multi-agent systems

02

Models

PyTorch · TensorFlow · scikit-learn · OpenCV · Vision Transformers · RL · NLI

03

Product

FastAPI · Flask · Django · Node · React · REST · TypeScript · PostgreSQL · Redis

04

Operations

Docker · Kubernetes · GitHub Actions · MLflow · DVC · Azure · AWS · Prometheus · Grafana

Résumé inventory07 domains
01

Languages

Python · Java · C · SQL · JavaScript

02

GenAI Tooling

LangChain · LangGraph · MCP · AI Agents · Hugging Face Transformers · RAG · FAISS

03

AI & ML

PyTorch · TensorFlow · scikit-learn · OpenCV · Reinforcement Learning · Vision Transformers

04

Cloud & DevOps

AWS · Docker · Kubernetes · GitHub Actions · CI/CD · Git · GitHub · Linux · MLflow · DVC · Prometheus · Grafana

05

Databases

MySQL · MongoDB · PostgreSQL · Redis · ChromaDB

06

Backend

FastAPI · Flask · Node.js · REST APIs · SQLite

07

Core CS

DSA · OOP · Operating Systems · Computer Networks · System Design · API Design · DBMS · Distributed Systems

99.83%

Machine Learning specialization

100%

Advanced Deep Learning specialization

TOP 2%

NPTEL Programming in Java

CSE + DA

GATE 2026 qualified

06 / CERTIFICATIONS VERIFIABLE CREDENTIALS

Proof of learning

Credentials
you can inspect.

Seven completed learning, simulation, and competition records, each linked directly to the original credential.

Find the evidence

Profiles & proof

07 / CONTACTAVAILABLE FOR AI / ML & GENAI ROLES

Have a system worth building?

LET'S MAKE IT
RELIABLE.

vigneshbalamurugan.m23@iiits.in