BALARAJBALARAJBALARAJBALARAJ

Open To Opportunities

Full-Stack

& AI / ML

Engineer

Architecting scalable event-driven infrastructure and robust multi-agent systems.

PythonNext.jsFirebaseFastAPIVertex AIReact NativeDocker

2× NATIONAL HACKATHON WINNER

Download Resume

Award-winning AI/ML developer recognized for high-performance AI integration and scalable systems.

2×National Wins

10+AI Apps Built

7Live Products

PROVEN HIGHLIGHTS

2 National-Level Hackathon Wins (₹2.75L+)

Built 10+ AI-driven applications

Deployed ML systems used by real users

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balaraj.profile.ts

const balaraj = {

name: "Balaraj R",

role: "Systems Architect & AI",

university: "PES University",

focus: "Distributed Systems, DS&A",

specialization: "AI & ML",

hackathonPrizes: "₹2,75,000",

certifications: 35,

linesOfCode: "40,000+ (solo)",

openSource: [

"Ubuntu", "Pandas", "NumPy",

badge: "GitHub Pull Shark x2",

};

2nd

Year BTech
CSE · AI & ML

About Me

Building AI That
Ships to Production

Focused on building real-world AI systems — not just models, but deployable products.

I'm a 1st-year B.Tech CSE student at PES University specializing in AI & ML. I build and deploy production-grade AI systems, including CareerLens (40,000+ LOC, 32 services) and AgriSence (GCP-based ML platform with 400+ commits).

I'm a National-level hackathon winner with ₹2.75L+ in prizes—most notably securing a flagship victory in the Google GenAI Hackathon. I hold 35+ top-tier certifications across multi-cloud infrastructure and cybersecurity, and actively shape open-source ecosystems with merged contributions to Ubuntu, Pandas, and NumPy (GitHub Pull Shark ×2).

Agentic AI Systems

Multi-agent workflows, LLM orchestration, tool usage

Full-Stack AI Apps

Next.js, APIs, ML integration, real-time UI

Cloud & MLOps

GCP, Docker, deployment pipelines

AI Security

Model safety, adversarial thinking, secure systems

Work With Me View GitHub View Resume

Capabilities

Skills & Capabilities

I design, build, and deploy production-grade AI systems — from model development to scalable cloud infrastructure.

Python

PyTorch

TensorFlow

Gemini

LangChain

Google ADK

Google Cloud

Azure

AWS

Firebase

Docker

Vercel

TypeScript

Next.js

React

FastAPI

Node.js

PostgreSQL

AI Systems Engineering

Design and build LLM-powered applications using RAG, tool-calling, and multi-agent workflows
Deploy models using Vertex AI / Gemini APIs with real-time inference pipelines
Optimize for latency, cost, and scalability in production environments

Core Stack

LangChainVertex AIGeminiTensorFlowPyTorch

Full-Stack AI Development

Build end-to-end AI products with seamless frontend–backend integration
Develop scalable APIs for ML services and real-time applications
Focus on clean architecture, modular design, and performance

Core Stack

Next.jsReactTypeScriptFastAPIFirebase

Cloud & MLOps

Deploy and manage applications on GCP (Cloud Run, Firestore, Functions)
Containerize services using Docker and design microservice architectures
Handle CI/CD, monitoring, and production reliability

Core Stack

GCPDockerFirebaseCloud Functions

Security & Reliability

Implement secure architectures for AI systems and APIs
Work with encryption, network analysis, and system-level debugging
Design systems with resilience and fault tolerance in mind

Core Stack

Network SecurityCryptographyWiresharkAuth

Production ExperienceHighly Unique

Where I've Applied These Skills:

CareerLens32 Microservices

Built scalable AI-powered backend (40K+ LOC) processing real-time generation queues and embedding pipelines.

AgriSenceGCP Deployed

Deployed end-to-end ML architectures handling image segmentation models on scalable cloud functions.

Complete Arsenal

AI & DataVertex AI, Gemini, LangChain, PyTorch

FrontendNext.js 16, React, Tailwind CSS, Framer

BackendNode.js, TypeScript, FastAPI, Firebase

Cloud & DevOpsGCP, Docker, GitHub Actions, Vercel

Engineering Portfolio

I design & deploy
complex AI systems

Proof that I build real-world systems with impact, performance, and architecture in mind.

🤖AI Executive Board

Darwin

Live System GitHub

A full-stack AI platform that acts as an AI-powered executive board for founders. Features a sophisticated 3-round debate engine with 5 specialized AI agents enforcing hard constraints to build actionable execution blueprints. Each agent operates autonomously, synthesizing market intelligence and strategic viability to provide rigorous, unbiased venture validation.

Architecture

Multi-agent structured debate with deterministic constraint overrides

FastAPINext.js 14Vertex AIFirebase+4 more

5 SpecialistsAI Agents

3-Round DebateEvaluation

Cloud RunInfra

🩺Flagship AI Healthcare OS

VaidyaOS

Live System GitHub

An advanced AI healthcare platform architected for intelligent, real-time, multilingual medical assistance. Employs on-device edge AI and comprehensive offline capabilities via lightweight GGUF models. It bridges the critical gap in remote clinical operations by ensuring persistent medical intelligence without network dependency.

Architecture

Offline-first architecture with Edge AI inference & Llama.cpp

React NativeGemmaLlama.cppFirebase+4 more

On-deviceInference

Offline-readyNetwork

🎯🥇 Google Gen AI Exchange — National Winner

CareerLens

Live System GitHub

A dynamic AI-powered career platform that intelligently analyzes resumes, pinpoints skill gaps, and autonomously generates hyper-personalized career trajectories. Engineered entirely as a robust microservices ecosystem, it efficiently scales heavy embedding workflows using asynchronous queues and Cloud Functions.

Architecture

Event-driven microservices architecture with parallel embedding queues

Next.js 15TypeScriptGemini 1.5 ProCloud Functions+4 more

40,000+Lines of Code

32Microservices

320+Commits

🌾🥇 INFERENTIA 2.0 — Winner

AgriSence

Live System GitHub

A cutting-edge real-time AI farming orchestrator designed for rapid crop disease detection and predictive advisory. Synthesizes computer vision inference with satellite geospatial data to deliver localized, multilingual agricultural insights through a seamlessly scalable serverless GCP architecture.

Architecture

Serverless ML inference pipeline with real-time edge sync

Next.js 16Gemini 2.0 FlashFirebaseGenkit+3 more

7 RegionalLanguages

15+ FlowsAI Workflows

GCP ServerlessCloud Tech

More Projects

🎬

Gemini Live Agent Finalist

OmniSence

Engineered a multimodal creative storytelling engine processing text to audio and video. Combined LL…

Streaming pipelineAsync image rendering

Demo

🤖

Google APAC Hackathon

TaskForze

Created a multi-agent productivity system that coordinates 5 specialized AI sub-agents to manage wor…

5 specialized agentsWhatsApp escalation

Demo

🏥

Microsoft Imagine Cup

HealthMesh v2.0

Built a HIPAA-ready clinical AI platform combining 6 specialized healthcare agents with a prescripti…

HIPAA-ready6 clinical AI agents

Demo

🛡️

AMD Slingshot Hackathon

CyberShield AI

Developed and deployed multiple systems including a 5-layer SME cybersecurity suite (scoring 78/100)…

5-layer securityC-based offline mesh

Demo

Journey

Engineering Journey

From foundational systems to production-scale AI architectures — a progression of building, scaling, and refining real-world systems.

Flagship ProjectAI Platform Architecture

MAY 5, 2026 – Present

Darwin Engineering & Architecture

Independent AI Venture

Architected a multi-agent AI debate engine enforcing hard constraints to build actionable execution blueprints.
Designed a sophisticated 3-round evaluation system with autonomous agents evaluating market intelligence and strategic viability.

Impact

MULTI-AGENT AI
VERTEX AI
FASTAPI

Flagship ProjectArchitecture & AI

MAY 2026 – Present

VaidyaOS Engineering & Deployment

Independent AI Healthcare Initiative

Architected and engineered a comprehensive, privacy-first healthcare AI platform running directly on-device using quantized GGUF models.
Developed full offline medical intelligence capabilities alongside cloud-synced fallback APIs, ensuring zero-latency, highly available clinical insights.

Impact

ON-DEVICE AI
OFFLINE-FIRST
Llama.cpp

HackathonCompetition

APR 2026

Meta PyTorch OpenEnv Grand Finale

Event-Driven Microservices Engine

CareerLens & HealthMesh Core

Designed and scaled an event-driven microservices architecture powering production AI platforms.
Built parallel processing pipelines for vector embeddings and background workers, enabling reliable, low-latency operations across 32 independent services.

Impact

Scaled to 32 microservices
Reduced processing latency
Enabled real-time AI workflows

ArchitectureR&D

Q4 2024

Multi-Agent Supervisor Framework

TaskForze System

Built a multi-agent orchestration framework with supervisor nodes to coordinate task execution across specialized agents.
Implemented failover mechanisms and real-time escalation workflows using external APIs, ensuring reliability under SLA constraints.

Impact

5 specialized agents coordinated
Zero-downtime failover triggers
Automated WhatsApp/Call escalation

SystemsOpen Source

Jan 2024 – Present

Core Library Contributor

Ubuntu, Pandas & NumPy

Contributed to performance optimizations and bug fixes across Python data ecosystem libraries (Ubuntu, Pandas, NumPy).
Resolved complex issues and improved system efficiency, earning multiple GitHub Pull Shark badges (22+ PRs merged).

Impact

22+ PRs successfully merged
Performance bottlenecks resolved
Strengthened major OSS pipelines

FoundationEducation

Aug 2024 – 2028

B.Tech CSE (AI & ML)

PES University, Bengaluru

Focused on systems-level thinking including operating systems, networking, and low-level architecture (RISC-V, TCP/IP).
Actively engaged in developer communities (GDG, NVIDIA Cloud) and technical speaking.

Impact

Deep architectural fundamentals
Systematic problem solving
Community technical leadership

What This Journey Reflects

This timeline reflects my progression from learning foundational systems to designing and deploying scalable AI architectures. I consistently focus on building production-ready systems that integrate AI, robust cloud infrastructure, and real-world constraints to solve complex engineering challenges.

Impact Metrics

Achievements & Impact

Recognized through national competitions, real-world deployments, and continuous technical mastery.

2 National Wins · 8+ Competitions

₹0+

Prize Money Won

2× NATIONAL WINNER

META PYTORCH HACKATHON | GRAND FINALE

Certifications (AI, Cloud, Security)

Focused on building and validating real-world AI systems through competitions, production deployments, and continuous learning.

Google Gen AI Exchange

NATIONAL WINNER

Built an AI-driven clinical orchestration system. Selected among top teams nationwide for innovation, robust technical architecture, and real-world applicability.

Inferential 2.0

🥇 1st Place

Developed a high-performance system under intense time pressure. Praised for clean system design, scalability, and seamless integration capabilities.

Verified Credentials

Certifications Gallery

28 certifications across AI, Cloud, Security, and Development. Click any to view full resolution.

Gen AI Academy 2.0 — Networking Track

Google Cloud × Hack2skill

CompletionJan 2026

Gen AI Academy 2.0 — AI/ML Track

Google Cloud × Hack2skill

CompletionJan 2026

Gen AI Academy APAC 2026

Google Cloud × Hack2skill

ParticipationMay 2026

Gen AI Exchange Hackathon — Winner

Google Cloud × Hack2skill

🏆 WinnerFeb 2026

1 / 28

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Get in Touch

Open to Collaborations

Let's Build
Scalable AI Systems

I'm open to AI/ML internships, high-impact projects, and collaborations focused on real-world systems. Currently building production-grade AI platforms — happy to connect if you're working on something meaningful.

Based in Bengaluru, open to remote opportunities.

LeetCode 200+

Problems Solved