Open To AI/ML Opportunities

Balaraj R — AI/ML Engineer Building Real-World AI Systems That Ship to Production

AI/ML engineer specializing in multi-agent orchestration, offline-first Edge AI architectures, and high-throughput event-driven microservices.

₹2.75L+Hackathon Prize Pool
40K+ LOCEngineered Systems
35+ BadgesGoogle Skills Profile
Balaraj R, AI/ML engineer, seated in a black blazer

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

balaraj.profile.ts
TS
00const balaraj = {
01name: "Balaraj R",
02role: "Systems Architect & AI",
03university: "PES University",
04focus: "Distributed Systems, DS&A",
05specialization: "AI & ML",
06hackathonPrizes: "₹2,75,000",
07certifications: 25,
08linesOfCode: "40,000+",
09openSource: ["Ubuntu", "Pandas", "NumPy"],
10badge: "GitHub Pull Shark ×2",
11};
3rd
Year B.Tech
CSE · AI & ML

Building AI That
Ships to Production

I'm a 3rd-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 25+ 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

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
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
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
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
Network SecurityCryptographyWiresharkAuth

Production Experience

32
Microservices

CareerLens

Scalable AI-powered backend of 40K+ lines, processing real-time generation queues and embedding pipelines.

GCP
Deployed

AgriSence

End-to-end ML architecture handling image segmentation models on scalable cloud functions.

Complete Arsenal

AI & Data

Vertex AIGeminiLangChainPyTorch

Frontend

Next.js 16ReactTailwind CSSFramer

Backend

Node.jsTypeScriptFastAPIFirebase

Cloud & DevOps

GCPDockerGitHub ActionsVercel

I design & deploy
complex AI systems

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

Darwin visual

AI Executive Board

Darwin

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.

5 Specialists
AI Agents
3-Round Debate
Evaluation
Cloud Run
Infra
VaidyaOS visual

Flagship AI Healthcare OS

VaidyaOS

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.

On-device
Inference
Offline-ready
Network
CareerLens visual

Google Gen AI Exchange — National Winner

CareerLens

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.

40,000+
Lines of Code
32
Microservices
320+
Commits
AgriSence visual

INFERENTIA 2.0 — Winner

AgriSence

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.

7 Regional
Languages
15+ Flows
AI Workflows
GCP Serverless
Cloud Tech

More Projects

OmniSence

Gemini Live Agent Finalist

OmniSence

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

Streaming pipelineAsync image rendering
TaskForze

Google APAC Hackathon

TaskForze

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

5 specialized agentsWhatsApp escalation
HealthMesh v2.0

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
CyberShield AI

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
Architectural Progression

Engineering Roadmap

From foundational systems to production-scale AI architectures — a structured progression of designing, building, and deploying reliable software.

01
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.
Deep architectural fundamentalsSystematic problem solvingCommunity technical leadership
02
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).
22+ PRs successfully mergedPerformance bottlenecks resolvedStrengthened major OSS pipelines
03
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.
5 specialized agents coordinatedZero-downtime failover triggersAutomated WhatsApp/Call escalation
04
ScaleSystem Architecture
2024 – 2025

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.
Scaled to 32 microservicesReduced processing latencyEnabled real-time AI workflows
05
HackathonCompetition
APR 2026

Meta PyTorch OpenEnv Grand Finale

Meta

  • Cleared Round 1 from 52,000+ registered developers.
  • Selected for the Grand Finale in Bangalore — one of the most competitive ML hackathons globally.
ARCHITECTUREML SYSTEMS
06
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.
ON-DEVICE AIOFFLINE-FIRSTLlama.cpp
07
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.
MULTI-AGENT AIVERTEX AIFASTAPI
08
InternshipGenerative AI & LLM Systems
AUG 2026 – Present

Gen AI Intern

AatonovaZ Technologies Pvt. Ltd.

  • Designed and evaluated Generative AI systems, Large Language Model pipelines, and hardware-software integration workflows.
  • Engineered automated prompt evaluation suites, optimized high-throughput data pipelines, and reported directly to the Founder & CEO.
GEN AI PIPELINESLLM EVALUATIONADAPTIVE INTELLIGENCE
09
InternshipProject Engineering & Edge AI
OCT 2026 – Present

Project Engineering Intern (Pashu Drishti MVP)

Novabion Pvt. Ltd. (Chitradurga, Karnataka)

  • Executed the Phase 1 MVP of "Pashu Drishti" — an offline-first Edge AI system for livestock diagnostics.
  • Designed zero-latency quantized inference pipelines and conducted on-site physical deployment testing in Chitradurga.
OFFLINE-FIRST EDGE AIPHYSICAL FIELD TESTINGCHITRADURGA MVP

Today · still building

Deterministic AI

Multi-agent validation, structured schemas, and rule-based vetoes over soft, unpredictable model hallucinations.

Edge & On-Device

Offline-first GGUF quantized models with cloud-sync fallbacks for low-latency, privacy-preserving clinical workflows.

Open Source Rigor

Production-grade contributions to foundational infrastructure packages ensuring maximum software resilience.

Achievements & Impact

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

10+

2 National Wins · 8+ Competitions

₹2.75L+

Prize Money Won

2

2× NATIONAL WINNER

52K+

META PYTORCH HACKATHON | GRAND FINALE

25+

Certifications (AI, Cloud, Security)

NATIONAL WINNER

Google Gen AI Exchange

Built CareerLens, a personalized AI career and skills advisor. Selected as a national winner for innovation, robust technical architecture, and real-world applicability.

1st Place

Inferentia 2.0

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

Certifications Gallery

25 certifications across AI, Cloud, Security, and Development. Swipe through them, or open any one at full size.

Winner

Gen AI Exchange Hackathon — Winner

Google Cloud × Hack2skill · Feb 2026

01 / 25

  • Gen AI Exchange Hackathon — Winner, Google Cloud × Hack2skill, Feb 2026
  • Google Cloud Gen AI Academy APAC 2026 — Cohort 1, Google Cloud × Hack2skill, May 2026
  • Google Cloud Gen AI Academy APAC 2026 — Cohort 2, Google Cloud × Hack2skill, Jul 2026
  • Google Cloud Gen AI Academy APAC 2026 — Cohort 3 (Cloud Run), Google Cloud × Hack2skill, Sep 2026
  • Gen AI Academy 2.0 — Cloud Technologies, Google Cloud × Hack2skill, Jan 2026
  • Gen AI Academy 2.0 — AI/ML Track, Google Cloud × Hack2skill, Jan 2026
  • Gen AI Academy 2.0 — Networking Track, Google Cloud × Hack2skill, Jan 2026
  • Gen AI Academy 2.0 — Data Track, Google Cloud × Hack2skill, Jan 2026
  • Gen AI Academy 2.0 — DevOps Track, Google Cloud × Hack2skill, Dec 2025
  • Gen AI Academy 2.0 — Serverless Track, Google Cloud × Hack2skill, Dec 2025
  • Gen AI Academy 2.0 — Security Track, Google Cloud × Hack2skill, Dec 2025
  • 5-Day AI Agents Intensive Course, Kaggle × Google, Dec 2025
  • Gemini Certified Educator, Google for Education, Jun 2025
  • Agentic AI Day, Google Cloud × Hack2skill, 2025
  • Inferentia 2.0 — 1st Place, PES University · AURA · AI&ML Dept, Sep 2025
  • Meta PyTorch OpenEnv Hackathon — Round 1, Meta × OpenEnv × Scaler, Apr 2026
  • Build with Gemma: Bengaluru AI Sprint, Google Build with Gemma × RIT / IEEE CIS, 2025
  • Adobe University Hackathon, Adobe × Unstop, Aug 2026
  • Code of Honour 2.0, PESIT × Unstop, 2025
  • AWS Job Roles in the Cloud, Amazon Web Services, Nov 2025
  • AWS Certified Cloud Practitioner (CLF-C02) — Practice Question Set, Amazon Web Services, Nov 2025
  • Frontend Developer (React), HackerRank, Oct 2025
  • JavaScript (Intermediate), HackerRank, Oct 2025
  • Oracle Cloud Infrastructure — Generative AI Professional, Oracle, 2025
  • AI for Beginners, HP LIFE Foundation, Nov 2025
Open to CollaborationsBengaluru · IST

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, and happy to connect if you're working on something meaningful.