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Hello, I'm

Humayan Kabir

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ML Engineer specializing in Deep Learning, LLMs & GenAI with 2+ years building scalable AI solutions and real-time data pipelines

About Me

I'm a Machine Learning Engineer with a passion for pushing the boundaries of AI research and building real-world applications that make an impact. I specialize in Deep Learning, LLMs, and GenAI Applications.

With a B.Sc. in Computer Science & Engineering from North South University and 3 years of professional experience in AI, Big Data, End to End deployment, and governance, I bring a strong foundation in both theory and practice. And I aim to utilize my skills to research and create innovative and helpful AI solutions.

My journey spans from developing Containerized Applications at an AgroTech, Big Data Solutions and High-availability Monitoring Systems at a Telco, Developing LLM powered AI solutions, to exploring cutting-edge research in symbolic regression and cryptographic analysis using neural networks.

Currently, I am working at a Law firm to develop useful and powerful LLM based AI solutions to optmize workflows. I thrive in collaborative, multicultural environments and have worked with teams across Asia, Europe, and North America.

3+
Years Experience
10+
Technologies Mastered
5+
Team Members Mentored
Humayan Kabir - ML Engineer

Professional Experience

Oct 2025 - Present

Associate AI Solutions Engineer

Reliance Legal Services
Dhaka, Bangladesh
  • Built an LLM-powered document generation system, reducing per-case formatting time from 30 minutes to under 1 minute, directly optimizing performance across the practice.
  • Designed and deployed an agentic RAG pipeline, enabling semantic search across historical briefs, contracts, and memos.
  • Optimized internal processes, resulting in a notable increase in the firm's overall efficiency.
RAG LLMs AI Data Engineering Full-Stack Development Vector Database Python
Jan 2023 - Jun 2024

Specialist OSS Developer (Associate)

Banglalink Digital Communication Ltd
Dhaka, Bangladesh
  • Functionally led full-stack development of high-availability monitoring systems, achieving zero downtime through parallel processing nodes (Zabbix, Grafana)
  • Automated maintenance and optimized monitoring stack, reducing CPU usage by 20-40%, storage by 50%, and improving alert processing by 15%
  • Guided 3+ new hires through hands-on onboarding, fostering team integration
  • Collaborated with global teams to implement productivity-enhancing tools
Zabbix Grafana DevOps Automated Maintenance Automated Event Handling PostgreSQL
Oct 2022 - Dec 2022

Big Data Analyst (Associate)

Banglalink Digital Communication Ltd
Dhaka, Bangladesh
  • Collaborated on scalable CDR data pipelines supporting real-time KPI monitoring and feature engineering for ML analysis
  • Explored and tested distributed Big Data/ETL tools in collaborative environment (HDFS, Spark, Airflow)
  • Guided 2+ colleagues in skill development, promoting team sustainability
Apache Spark Apache Airflow HDFS
Jan 2022 - Sep 2022

Python DevOps Engineer

Shurjomukhi Solutions Ltd
Dhaka, Bangladesh
  • Built and deployed containerized Django REST platform in Agile sprints aligned with investor goals
  • Collaborated cross-functionally with ML team to design and deploy image recognition models
  • Mentored 4+ junior developers through hands-on guidance, facilitating tool adoption
Django REST Docker MySQL

Featured Projects

RAG Based Educational Assistant

Developed a RAG-based educational assistant for retrieval-driven feedback and smarter academic support. The aim was to provide personalized learning assistance for individuals. By highlighting student weakpoints, enhancing engagement and improving learning, not just grades.

LLMs RAG LangChain FAISS Rest API Python

LLM Powered Cloud Automation Pipeline

Designed LLM-powered cloud pipelines to automate analytics workflows and streamline data operations. It's adaptable and scalable for various workloads.

LLMs LangChain Python AWS S3 REST API Data Pipelines

AI Feynman Inspired Symbolic Regression

AI Feynman is a published research work by researchers from MIT and Cornel University, among others. It uses Machine Learning to find new physical laws from data. This project extended the research by developing a transformer-based model using real and synthetic data.

Symbolic Regression Transformers CNN Python PyTorch Synthetic Data

Cryptographic Hash Analysis with Neural Networks

An experimental project to understand the intersection of deep learning and SHA-256 cryptography. The goal was to do advance analysis of hash vulnerabilities and security. And it's implications for cybersecurity and data integrity.

GANs CNNs Transformers Ensemble Models PyTorch TensorFlow Python Cryptographic Analysis

Real-Time Sign Language Detection

Computer vision project choosing the most optimal model from CNN, RNN, and ResNet models. Trained and intended for both English and Bangla Sign Language recognition with live translation capabilities.

CNN RNN ResNet Computer Vision Python Real-Time Inference

High-Availability Real-Time Monitoring System

Enterprise-grade monitoring platform with parallel processing nodes achieving zero downtime. Additionally made 40% CPU optimization, and 50% storage reduction for telecom infrastructure.

Zabbix Grafana MySQL PostgreSQL Unix Real Time Monitoring

Skills & Technologies

Machine Learning & AI

Python LLM GenAI RAG FAISS LangChain GAN Symbolic Regression Computer Vision CNN Transformers PyTorch TensorFlow Deep Learning

Big Data & Pipelines

Python Apache Spark Apache Airflow ETL Design HDFS Data Pipeline Data Processing Orchestration Engine Distributed Processing

DevOps & Monitoring

Python Docker Git Zabbix Grafana Alert Generation Real-Time Monitoring Dashboard Development Unix Shell Scripting

Database & Backend

MySQL PostgreSQL MongoDB Django CMS REST API

Web Development

Angular Django Django CMS Full-Stack REST APIs

Soft Skills

Agile Methodology Cross-cultural Communication English Proficiency Technical Writing Mentoring

Get In Touch

I'm always interested in hearing about new opportunities, collaborations, or just connecting with fellow technologists.

Open to Opportunities

Looking for roles that bridge AI research and real-world applications in global, culturally diverse teams.

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