AI/ML ENGINEER•STUDENT•PROBLEM SOLVER

Hi, I'm

Belal Ansari

Aspiring AI/ML Engineer focused on Generative AI, Machine Learning, and Computer Vision. I enjoy turning ideas into practical AI-powered solutions and exploring how intelligent systems can solve real-world problems.

Belal Ansari
Generative AI
Computer Vision
Real-world Apps
Build • Learn • Solve • Repeat
routine.js
while (learning) {
  build();
  improve();
  solve();
  repeat();
}
Currently Exploring
LLMs & RAG Architectures
Computer Vision & YOLOv11
AI Agents & Multi-Agent Swarms
Open Source Contribution

Problem Solving

Turning real-world problems into working solutions.

AI/ML Development

Work with LLMs, embeddings, computer vision and more.

Collaboration

Active in tech communities and a club leader.

Continuous Learning

Always exploring new tools, research and real-world applications.

LIVE COMPETITIVE PULSE

Algorithmic & Open Source Telemetry

Inspect Full Contribution Heatmaps

LeetCode

@Belal_Ansari07
SOLVED PROBLEMS
28
GLOBAL RANK
#3,888,703
17
Easy
11
Medium
0
Hard
Daily DSA PracticeView Profile

Codeforces

@Belal_Ansari
CURRENT RATING
401
MAX RATING
401
Competitive Division:newbie
Active in Div. 3 / Div. 4View Contests

GitHub

@BELALANSARI07
PUBLIC REPOSITORIES
10
FOLLOWERS
2
Primary Languages:Python • TypeScript • C++
Open Source AI ArchitecturesView Repositories
FEATURED PROJECTS

Projects

A few projects I've worked on, combining AI/ML with real-world applications.

Multi-Modal RAG Knowledge Engine
● PRODUCTION

Multi-Modal RAG Knowledge Engine

PythonPyTorchLangChain+4

Hybrid sparse-dense retrieval engine supporting vision-language documents, vector embeddings, and cross-attention reranking.

Low-Latency Edge AI Alert System
● PRODUCTION

Low-Latency Edge AI Alert System

C++PythonTensorRT+4

Quantized real-time anomaly telemetry and alert dispatch optimized for edge inference devices.

Railway Object Detection & Emergency Stop Prototype
● PRODUCTION

Railway Object Detection & Emergency Stop Prototype

PyTorchYOLOv11OpenCV+3

Computer vision obstacle detection and automated fail-safe emergency deceleration trigger for railway corridors.

Technical Skills
PythonComputer Vision (CNNs / YOLO)FastAPI & REST APIsNext.js & ReactOpenCVTailwind CSSPyTorchGenerative AI & LLMsONNX RuntimeDocker & ContainerizationRAG Architectures & Vector DBsTypeScriptLinux / BashRedis & Message QueuesLinear Algebra & CalculusGit & GitHub ActionsHugging Face TransformersPostgreSQL & SupabaseNumPy / PandasScikit-LearnModel Quantization (INT8/FP16)
Education & Leadership

B.Tech – Computer Science & Engineering (AI/ML)

Noida International University
2025 – 2029 • CGPA: 8.65
Vice President, Gen AI Club
Noida International University

Organizing hands-on workshops, hackathons, and building an active student AI engineering community.

Finalist & Outstanding Prototype Award
National Smart Transportation AI Challenge (OCT 2025)

Architected and demonstrated the Railway Object Detection & Emergency Stop prototype evaluated against real track telemetry video feeds.

Interests
Generative AI & LLM Systems
Computer Vision & YOLO Architectures
AI Agents & Multi-Agent Systems
Open Source Contribution
Competitive Programming (ICPC)
Real-world AI Applications
LET'S CONNECT

Open to internships and exciting opportunities.

Feel free to reach out for internships, collaborations or just a chat about AI, technology and interesting ideas.

Download Resume
Belal Ansari•AI/ML Engineering Student (Class of 2029)