#!/usr/bin/env python3
# manav_agarwal.py — Who am I?
class ManavAgarwal:
"""
AI Engineer | ML Engineer | Software Engineer
Building systems where intelligence meets scale.
"""
IDENTITY = {
"name" : "Manav Agarwal",
"role" : ["AI Engineer", "ML Engineer",
"Software Engineer"],
"university": "Chandigarh University",
"degree" : "B.E. AI & Machine Learning",
"batch" : "2023 → 2027",
"location" : "Punjab, India 🇮🇳",
}
STRENGTHS = [
"System Design",
"Backend Engineering",
"Machine Learning",
"LLM / Agentic AI",
"Computer Vision",
"Research & Publications",
]
EXPERIENCE = {
"Microsoft AICTE": {
"role" : "Machine Learning Intern",
"stack" : ["Azure ML", "Pipelines",
"Hyperparameter Tuning",
"Model Deployment"],
}
}
RESEARCH = {
"publisher" : "Springer",
"papers" : 3,
"domains" : [
"AI Nanorobots",
"CNN Eye Disease Detection",
"IoT Water Level Monitoring",
],
}
DSA = {"solved": "600+", "platforms": ["LeetCode",
"Codeforces", "CodeChef", "HackerRank"]}
def current_focus(self):
return [
"Multi-Agent AI with CrewAI + LangGraph",
"RAG Pipelines & Vector DBs",
"MCP — Model Context Protocol",
"LLM Fine-tuning (LoRA, RLHF)",
"Production AI on Azure",
]
def __repr__(self):
return "Building AI that actually ships. 🚀"
me = ManavAgarwal()
print(me)
# → Building AI that actually ships. 🚀 |
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Architecture Key Features
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Architecture Key Features
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Architecture Key Features
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Architecture Key Features
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Key Features
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Key Features
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| # | Title & Abstract | Domain | Link |
|---|---|---|---|
| 01 |
AI-Powered Nanorobots for Targeted Drug Delivery Proposes an autonomous nanorobot architecture guided by reinforcement learning for precision oncology drug delivery. Covers swarm coordination, biocompatibility modeling, navigation algorithms, and clinical simulation results. Published in Springer proceedings on AI in Biomedical Engineering. |
🧬 Biomedical AI 🤖 Reinforcement Learning 🔬 Nanotechnology |
|
| 02 |
CNN-Based Multi-Class Ocular Disease Detection from Fundus Images Presents an attention-gated CNN architecture for simultaneous detection of Diabetic Retinopathy, Glaucoma, and AMD from retinal fundus photographs. Achieves 96.4% sensitivity and 97.1% specificity. Validated on 3 public ophthalmology datasets. |
👁️ Computer Vision 🏥 Medical AI 🧠 Deep Learning |
|
| 03 |
IoT-Driven Real-Time Water Level Monitoring with Edge ML Describes a distributed IoT system with edge ML inference for smart water resource management. Integrates ultrasonic sensors, ESP32 microcontrollers, Azure IoT Hub telemetry, and an anomaly detection model for early flood prediction. Piloted across 12 sites. |
🌊 IoT / Edge AI ☁️ Azure IoT 📡 Embedded Systems |
|
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|
What I built & delivered:
|
|
|
Chandigarh University — Punjab, India Core Coursework: Data Structures & Algorithms · Object-Oriented Programming · Operating Systems · Database Management Systems · Computer Networks · Machine Learning · Deep Learning · Natural Language Processing · Computer Vision · Cloud Computing · Software Engineering · System Design Activities: Hackathon participant · Research author · Open source contributor · DSA competitive programming |
|
Azure Fundamentals
AZ-900 · Cloud concepts, core Azure services, security, compliance, pricing |
Generative AI
Prompt engineering, LLM fundamentals, responsible AI, Vertex AI |
AlgoVerse Top 50
Ranked in the top 50 nationally in Microsoft's flagship algorithmic programming competition |
|
Hackathon Winner
1st place — built and shipped a production-ready AI product under 48-hour deadline |
Hackathon Winner
1st place — deployed multi-stack application with ML backend in under 24 hours |
600+ DSA Solved
Easy + Medium + Hard · Algorithms, graphs, DP, trees, system design |
2025 Q1 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ✅ LangGraph · CrewAI · MCP · Multi-Agent Systems
2025 Q2 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ✅ RAG Pipelines · Vector DBs · LLM Fine-tuning basics
2025 Q3 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ✅ Advanced RAG · LoRA · RLHF · Multimodal models
2025 Q4 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ✅ Distributed ML Training · Model Compression · PEFT
2026 Q1 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ✅ Kubernetes for ML · Advanced System Design
2026 Q2 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░░░ ⏳ AI Safety · Alignment · Autonomous Agent Infra
2026 Q3 ░░░░░░░░░░░░░░░░░░░░ 🎯 MLOps Pipelines · Feature Stores · Model Monitoring
2027 Q1 ░░░░░░░░░░░░░░░░░░░░ 🎯 Research Paper #5 · Open Source AI Library v1.0
Now Learning:
Open source is where I move from consumer to creator. I contribute to projects I actually use in production, fix bugs I encounter, and document the gaps I wish had been filled.
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🤖 I think in neural networks. Even while ordering chai.
📡 I once transmitted a photograph using nothing but sound.
No Wi-Fi, no Bluetooth — just maths and air.
📄 Published 3 research papers before finishing my 3rd year.
🧠 I built an AI that writes startup plans.
The startup it should build? Itself.
☕ My optimal learning hyperparameter is caffeine → ∞
🏆 Won a hackathon building at midnight on 3 hours of sleep.
The code still runs in production.
💡 600+ DSA problems solved. Still can't solve
why coffee disappears so fast.
🌍 Dream: contribute to a model smarter than me.
Nightmare: it reviews my PRs.
Open to: Research collaborations · AI/ML projects · Internships · Open source · Technical discussions
| Channel | Link |
|---|---|
| www.linkedin.com/in/manavagarwal70/ | |
| manavag70@gmail.com | |
| 🐙 GitHub | github.com/manavagarwal123 |
| 💻 Codolio | codolio.com/profile/manavagarwal123 |
| 🧮 LeetCode | leetcode.com/u/manavagarwal28/ |
If my code, research, or projects ever saved you time — a ⭐ on the repo is the best thank-you!
· Crafted with 💜 by Manav Agarwal · manavagarwal123/manavagarwal123