Noman Chowdhury Munna
Results-driven Junior Software Engineer with 2+ years of experience building scalable backend systems and AI/ML-powered solutions. Expertise in FastAPI, Spring Boot, PostgreSQL, Redis, and geospatial/ML pipelines. Delivered secure e-commerce platforms, high-throughput image delivery systems, and optimized data workflows processing millions of records at DataCrata and Barikoi Technologies. Strong problem-solver with competitive programming achievements (ICPC, CTFs) and DevOps experience. Currently developing an AI-driven healthcare platform.
Education
Green University of Bangladesh
BSc in Computer Science and Engineering
Dhaka, Bangladesh
Skills
Languages
Frameworks & Libraries
Databases
DevOps & Tools
Core Concepts
News
Joined DataCrata as a Software Engineer, working on core and e-commerce backend systems.
Joined Barikoi Technologies Ltd. as a Junior Software Engineer (Backend), working on large-scale spatial engines and data pipelines.
Graduated with a BSc in Computer Science and Engineering from Green University of Bangladesh.
Secured 5th place in the prestigious BUET CSE FEST CTF 2023 contest.
Won the Green University Internal Programming Contest (GUB IDPC) 2022 as Champion.
Placed 9th out of hundreds of teams in the National University Cyber Drill 2021 cybersecurity CTF contest.
Experience
- Engineered systems and database structures for core e-commerce and proprietary DataCrata backends.
- Integrated third-party logistics and payment gateways including Daraz Dashboard APIs, RedX delivery, and SSLCommerz payment systems.
- Audited and secured endpoints, resolving critical vulnerabilities such as race conditions, IDOR (Insecure Direct Object References), XSS (Cross-Site Scripting), and SSRF (Server-Side Request Forgery).
- Enabled low-latency access to millions of geospatial images on the large-scale StreetView platform (ThirdEye360) by engineering and optimizing high-throughput image delivery pipelines.
- Improved processing efficiency, reduced scraping time to 30% and data accuracy of a geospatial scraping system by re-architecting it with FastAPI, Redis, and Selenium utilizing asynchronous background jobs.
- Ensured reliable data ingestion for ML models by building scalable data pipelines that process 8.7M+ records through optimized scraping, cleaning, and labeling workflows.
- Increased recognition accuracy of sensitive financial data in noisy documents by fine-tuning OCR models and optimizing preprocessing and validation logic.
- Enhanced spatial precision and mapping quality of aerial imagery by refining deep learning pipelines for building polygon detection using advanced post-processing techniques, reduced inference time to 50%.
Projects
AI-Powered Healthcare Platform
- Building an AI-driven healthcare system using Spring Boot, Next.js, and PostgreSQL.
- Designing modules for patient management, medical records, and telemedicine integration.
beShera: Ed-Tech Platform
- Developed a scalable Ed-Tech platform with student-teacher connections, examination system, digital library, and dashboards using FastAPI.
- Implemented Role-Based Access Control (RBAC) and standalone notifications via RabbitMQ.
CMC-Optimizer (Thesis Project)
- Built a simulation system optimizing industrial CMC production using SCA (Sine Cosine) and PSO (Particle Swarm) algorithms.
- Improved calculation parameters tuning and output data visualizations with Pandas/Matplotlib.
Achievements & Research
CTFs
- 5th in BUET CSE FEST CTF 2023
- 7th in Flag Hunt 2022
- 9th at National University Cyber Drill 2021
- 10th at National University Cyber Drill 2022
- Top 3% at TryHackMe
Problem Solving
- Solved 1800+ problems across various online judges
- Participated in 140+ programming contests
Contest Profiles
- Codeforces Specialist (Peak Rating: 1422)
- CodeChef 2-Star (Peak Rating: 1442)
ICPC Regional & Carnivals
- ICPC Dhaka Regional Contestant (2021, 2022, 2023, 2024) — ICPC Profile
- GUB IDPC Champion (2022) & 1st Runner-up (2024)
- 2nd Runner-up at CSE Carnival 2024
- Participated in IUPCs/NCPCs: RUET (2022), BUET (2022, 2023), SEC (2022), CUET (2024), JU NCPC (2024)
Publications & Research
Optimizing Carboxymethyl Cellulose (CMC) Production: A Metaheuristic Algorithm Approach
- Published at the 27th International Conference on Computer and Information Technology (ICCIT 2024).
- Co-authored research on optimizing industrial production parameters using Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO) algorithms.
GitHub Contributions
Contact
I'm always open to discussing new research opportunities, collaborations, or just a friendly chat about technology and engineering.