Puru Raj
Dhama

Building intelligent systems in the cloud —
from neural networks to distributed infrastructure.

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PSST — THE ROBOTS ARE CLICKABLE · SO IS THE SUN

The Pilot

Meet the pilot.

Puru Raj Dhama portrait
Puru Raj Dhama

I'm Puru Raj Dhama, a final-year Computer Science student at Bennett University (Times Group), Greater Noida, specialising in Cloud Computing and Artificial Intelligence. Those two words aren't just my degree — they're this whole site: the clouds you're climbing through are the infrastructure I build on, and the robots riding alongside are the intelligent systems I train.

I design and build systems that scale — from training ML models to architecting cloud-native applications on AWS, Azure and GCP. Currently exploring the intersection of large language models and cloud infrastructure, building tools that make AI more accessible, reliable, and production-ready.

NOW EXPLORING → LLM agents · MCP · cloud-native AI infra
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Flight Log

The route so far.

2020
Class 10EDU
Delhi Public School · CBSE Board
Grade: 89%. Wheels leave the runway.
2022
Class 12EDU
Delhi Public School · CBSE Board
Grade: 87.2%. Course set for computer science.
2022 — 2026
B.Tech, Computer Science & EngineeringEDU
Bennett University (Times Group), Greater Noida
Specialisation in Cloud Computing and AI. CGPA: 7.5/10. Coursework includes Distributed Systems, Deep Learning, Cloud Architecture, and Algorithm Design.
CGPA 7.5Cloud Spec.AI Spec.
APR 2024
AWS Cloud Practitioner EssentialsCERT
Amazon Web Services · Credential HR78Z2TKVKWY
Core AWS services, cloud concepts, pricing, security, and architecture fundamentals — the first cloud rating on the licence.
AWSCloud Fundamentals
OCT 2024
Google Cloud Computing Foundation with KubernetesCERT
Google Cloud Skills Boost · Credential 11810854
Google Cloud fundamentals with Kubernetes-based application deployment and orchestration.
GCPKubernetes
JUN 2025
MCP: Build Rich-Context AI Apps with AnthropicCERT
DeepLearning.AI
Building rich-context AI applications using the Model Context Protocol and Anthropic's ecosystem.
MCPAnthropicAI Apps
JUN — JUL 2025 · 2 MOS
Summer InternWORK
Crest Data · Ahmedabad, Gujarat, India · On-site
Built custom MCP servers for vulnerability detection and prioritization. Integrated AI agents, including Windsurf and Copilot, to test real-time vulnerability remediation workflows. Designed Cascade rules and workflows for LLM-guided code fixes and introduced context engineering to evaluate prompt strategies and agent performance.
MCPContext EngineeringPrompt EngineeringAI Agents

Missions

Deployed missions.

MISSION 001 · FULL-STACK
Companion — Gamified accountability platform
A gamified goal-tracking platform built around social accountability circles — create or join a circle with a shared goal, check in daily, and compete on a live leaderboard.
Next.jsSpring BootPostgreSQLTailwindJWT
↗ GitHubOPEN CASE STUDY +
MISSION 002 · CLOUD OPS
AZURE-CLOUD — Azure labs & proof-of-work
Hands-on Microsoft Azure labs covering compute, storage, networking, identity, databases and monitoring — a public proof of applied cloud skills.
Microsoft AzureAzure AD / RBACNetworking & Storage
↗ GitHubOPEN CASE STUDY +
MISSION 003 · SERVERLESS
Yapo — Serverless blog app on AWS
A serverless blog with protected auth, posts and comments — built end-to-end on AWS managed services with Polly text-to-speech and Translate baked in.
AWS LambdaAPI GatewayDynamoDB + S3Cognito
↗ GitHubOPEN CASE STUDY +
MISSION 004 · COMPUTER VISION
BottlelineClassification — Fill-level vision
CNN + MobileNetV2 transfer learning classifying bottles as under/over/normal fill for industrial inspection — ~98% accuracy vs ~71% baseline. Published in IEEE.
TensorFlow / KerasMobileNetV2OpenCV
↗ GitHub↗ IEEE PaperOPEN CASE STUDY +
MISSION 005 · ML SECURITY
malware-detection — Static malware classification
XGBoost pipeline classifying malware families from static PE features, DLL imports and API calls — ~93% accuracy, with a Streamlit demo for live predictions.
XGBoostScikit-learnStreamlit
↗ GitHubOPEN CASE STUDY +

Signals

Signals & telemetry.

2025
↗ IEEE Research Paper Publication
"Automated Detection of Bottle Fill Levels Using CNN and MobileNetV2" published in IEEE.
2025
Winner — Mined, Crest Data @ Nirma University
Hackathon win for a solution focused on practical problem-solving and technical execution.
2025
Finalist — Datathon by Analytika @ NMIMS
Reached the finalist stage in a competitive datathon with a strong analytical and implementation-focused submission.
2025
↗ IEEE Research Paper Publication
"Serverless Deployment of an Ensemble ML Model for Diabetes Prediction" — published at AECE 2025 (IEEE).
PR
Raj_0106
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Let's build something
remarkable.

Open to full-time roles and internships in Cloud Engineering, ML Engineering, or Software Engineering. Also available for research collaborations and open-source projects.

pururajdhama2004@gmail.com github.com/heyitspuru linkedin.com/in/puru-raj-dhama x.com/Dhama_16 leetcode.com/u/Raj_0106
BOARDING PASS · MSG-01FROM: YOU → TO: PURU

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