Hi, I'm Chhalma

AI/ML & Software Engineer

MSc Software Engineering graduate specializing in AI, ML & Cloud Systems. Achieved 4× inference speedup at AI-Aware Ltd through model optimization with PyTorch, ONNX, and TensorRT. Expertise in Python, Java, AWS/GCP, and full-stack development.

During my internship, I engineered and optimized multi-batch AI pipelines, combining academic rigor with practical experience in building scalable, intelligent systems. Actively seeking opportunities in AI/ML Engineering and Software Development.

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Interactive Projects

Spam Detector Using BERT

Fine-tuned BERT-base on the Kaggle SMS Spam Dataset to classify messages as Spam or Not Spam. Achieved Accuracy: 99% and F1-score: 0.98.

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AI Model Optimization Pipeline

Multi-stage benchmarking pipeline for Desklib model across PyTorch, ONNX, and TensorRT - achieving 4× FP16 speedup

Stock Adviser

AI-powered stock recommendation system providing insights on stock trends, portfolio suggestions, and market predictions.

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Knowledge Graph Generator

Software component converting tabular data to knowledge graphs using OWL2Vec and SPARQL with ontology alignment

Optimized Spark Pipeline

Boosted Spark cluster performance by 34% using dynamic partitioning and RDD caching for image processing

Activity Timeline

Interactive timeline chart showing development activity over time

Resources & Ideas

Study plan for Graduates

A Study Plan for recent Garduate Week 2

PyTorch to ONNX

Converting a PyTorch model to ONNX.

My PwC Tech & AI Story

My PwC Tech and AI Grad Scheme Story

Experience & Volunteer Work

AI Research Intern – AI-Aware Ltd

Jul 2025 – Present

Developed and optimized AI inference pipelines for NLP models using PyTorch, ONNX, INT8/INT4 quantization, and TensorRT.

Achieved up to 4× FP16 inference speedup on CPU and GPU.
Containerized pipelines using Docker for reproducible deployments.
Performed multi-stage benchmarking and quantitative analysis of full-precision vs quantized models.

Volunteer Software Developer – Geta Apps

Nov 2024 – Feb 2025

Built backend APIs and integrated AI features for an investor-founder matching platform.

Developed NestJS APIs and SQLite database for platform functionality.
Collaborated in Agile team using Slack for remote coordination.
Integrated AI decision-making logic into matching algorithms.

Volunteer Web Developer – Smile for the Future Charity

sep 2023 - Oct 2024

Designed and developed the charity website using Django and WordPress.

Implemented responsive front-end and CMS features for easy content management.
Enabled online donations and volunteer management system.
Showcased full-stack development skills and initiative for nonprofit work.

Education & Certifications

MSc Software Engineering

City, University of London

Sep 2023 – Present

Expected Distinction

MSc Information Technology

University of Dhaka

Jul 2009 – Dec 2010

CGPA: 3.76/4.00 (UK Distinction Equivalent)

BSc Computer Science & Engineering

Bangladesh University of Professionals

Feb 2005 – Dec 2008

CGPA: 3.35/4.00 (UK 2:1 Equivalent)

AWS Machine Learning Engineer Nanodegree

Udacity

Sep 2025

Programming with Python Nanodegree

Udacity

Feb 2025

AWS Academy Graduate

AWS Academy Cloud Developing

Aug 2025

Oracle Certified Associate Java Programmer

Oracle

Dec 2022