Open to new opportunities
Hi, my name is

Mandeep Singh.

I am an

I build intelligent, scalable systems. Experienced in architecting multimodal AI platforms, compliance automation pipelines, and cross-platform applications.

Python AI Systems LangGraph Cloud Native
Mandeep Singh, AI/ML Engineer and Developer wearing sunglasses and a patterned scarf with atmospheric background lighting.
mandeep@portfolio:~
focus: "intelligent systems"
stack: ["AI", "Cloud", "Mobile"]
status: "building"

01 / Foundation

About Me

Indian Institute of Information Technology (IIIT), Raichur

B.Tech in Artificial Intelligence & Data Science | Expected June 2028

Strong foundation in AI, Machine Learning, and Computer Science fundamentals. Passionate about applying cutting-edge deep learning concepts to solve complex real-world problems.

02 / Trajectory

Experience

Core Member, DeepLabs

IIIT Raichur | Jan 2025 – Present

Contributing to AI/ML research and development of intelligent systems within the institute's deep learning research group. Collaborating on high-impact projects spanning Large Language Models (LLMs), computer vision, and applied machine learning methodologies.

Case Studies

Featured Projects

Production-grade AI platforms with real metrics. Click any project card below to explore the architecture, implementation, and results.

FactoryMind

Multimodal Industrial Intelligence Platform

Multimodal industrial AI using Graph RAG (LangGraph + HuggingFace) to process sensor telemetry, machinery images, and maintenance logs for automated fault detection. Deployed on AWS EKS with CI/CD.

LangGraph Graph RAG HuggingFace FastAPI OpenCV PostgreSQL Docker AWS EKS
230 msAvg. Inference
38%Fault Reduction
90%F1-Score
EKSDeployment

Meridian

Multimodal Regulatory Intelligence & Compliance

4-agent compliance automation platform detecting GDPR/SOC-2/ISO-27001/SEC gaps from regulatory PDFs, board audio (Whisper ASR), and audit tables. Hybrid RAG with dense + BM25 + reranking.

LangGraph LlamaIndex Whisper ASR pgvector HuggingFace Celery GCP Cloud Run
0.87Gap Detection F1
0.91RAGAS Faithfulness
96.4%Routing Accuracy
4AI Agents

AI Fitness Coach

Cross-Platform Fitness Application

Cross-platform AI fitness app (Android & iOS) using Flutter with ML Kit on-device pose estimation achieving ~97% rep-counting accuracy across 8 exercise types. TDD with 91% test coverage.

Flutter ML Kit Pose Estimation FastAPI Firebase AES-256 Docker
97%Rep Accuracy
91%Test Coverage
140 msAPI Response
8Exercise Types

04 / Toolkit

Technical Skills

Core engineering competencies spanning AI platforms, full-stack cloud services, mobile applications, and database architectures.

Languages

7 Skills
C / C++ Python JavaScript (ES6+) TypeScript Java Dart SQL

AI & Machine Learning

6 Skills
Gemini API LangChain LangGraph HuggingFace Graph RAG Prompt Engineering

Backend & Cloud

6 Skills
Node.js FastAPI Flask RESTful APIs Spring Boot Firebase

Frontend & Mobile

5 Skills
React.js Next.js Flutter Tailwind CSS Redux

Databases

5 Skills
PostgreSQL MySQL MongoDB Firestore Query Optimization

Dev Practices

6 Skills
System Design Docker CI/CD Git / GitHub Microservices Agile / Scrum

05 / Signal

Achievements

1220
Codeforces Current Rating
(Competitive Programming)
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06 / Start a conversation

Get In Touch

Currently looking for new opportunities. Whether you have a question or just want to say hi, my inbox is always open!

mandeep15686@gmail.com

+91 9343667178