Hi! I am a Senior Machine Learning Engineer at Spectrum Software & Consulting Ltd. (SSCL) and an AI researcher. Previously, I served as an Instructor, Research Assistant, and Undergraduate Teaching Assistant in the Department of Computer Science and Engineering at United International University (UIU), where I completed my B.Sc. in CSE, graduating 1st in my batch with Summa Cum Laude honors (CGPA: 3.97 / 4.00).
Feel free to reach out at phprogga@gmail.com for research collaborations or inquiries!
π Publications & Manuscripts
πΌ Professional & Academic Experience
Senior Machine Learning Engineer
Jul 2023 β PresentLeading the design, fine-tuning, and production deployment of enterprise Document AI platforms, multilingual Vision-Language Models (VLMs), Agentic AI workflows, digital onboarding (e-KYC) biometrics, trade compliance RAG engines, and real-time computer vision systems.
Instructor (Part-Time Lecturer)
Jun 2023 β Sep 2023Delivered undergraduate lectures, designed course assessments, and mentored students in core computer science courses.
Grader
Nov 2022 β May 2023Evaluated assignments, programming projects, and coursework across AI, machine learning, and mathematics classes.
Undergraduate Teaching Assistant
Mar 2022 β May 2023Assisted faculty in laboratory sessions, guided student software projects, and held regular consultation hours across four trimesters.
Research Assistant
Mar 2022 β Aug 2022Conducted research in deep learning, medical image segmentation, and pattern recognition under faculty supervision.
π Selected AI & Research Projects
GitAgent β Code-Aware Agentic Requirements Engineering
Bug Fixing & Corner Test Case Generation
Misspelled Banglish Text Correction
Table Structure Recognition & Semantic Mapping
XtractAI β Enterprise Document AI Platform
- Led development of an enterprise Document AI platform for classification, OCR, and structured information extraction.
- Integrated LLMs and Vision-Language Models into scalable inference pipelines with production APIs for real-time PDF and scan processing.
Identra-KYC β AI-Powered Digital Onboarding (e-KYC)
- Designed an AI-powered onboarding platform integrating OCR, VLMs, face matching, and video liveness detection.
- Fine-tuned multilingual VLMs achieving 97.48% (English) and 91.23% (Bangla) NID extraction accuracy.
- Generated 10K+ synthetic NID samples and integrated Bangladesh Election Commission APIs for real-time verification.
Import Document Scrutiny & Trade Compliance
- Automated validation of LC MT700 clauses against import documents using GPT-OSS-20B, DotOCR, and RAG.
- Implemented compliance verification based on UCP 600 and ISBP 821, reducing manual effort and operational cost by 82%.
SpectraTrade β Financial Document Intelligence
- Fine-tuned and developed VLMs and layout-aware OCR for 24+ financial document types with 3β5 s/page latency.
- Deployed production AI services for PrimeBanijjo, Bangladesh's first AI-powered digital LC platform.
DockStream β RMG Automation Platform
- Built end-to-end AI and RPA pipelines for document classification, information extraction, and automated web form submission.
- Reduced manual effort and operational cost by 86% in high-volume RMG workflows.
Bangla License Plate Detection & Recognition (ALPR)
- Developed a production-grade ALPR system deployed across multiple toll plazas in Bangladesh.
- Designed a transformer-based OCR architecture replacing CNN approaches, achieving end-to-end detection and text extraction within 200 ms CPU-only inference.
Identity & Financial Document Parsing
- Developed AI pipelines for extracting and validating information from Bangladeshi NIDs, passports, bank cheques, EXP forms, and fixed-layout financial documents.
- Built OCR- and layout-aware extraction systems for structured and semi-structured documents.
Agentic AI for Finance Automation & SQA Testing
- Developed Agentic AI workflows for automated QA test-case generation, execution, and software validation.
- Built LLM agents for automating finance-related workflows, improving operational efficiency and reducing manual intervention.
Anomaly Detection & Smart Parking Analytics
- Developed computer vision-based anomaly detection and parking analytics solutions for automated monitoring and intelligent decision-making.
- Built real-world AI pipelines for multi-object detection, tracking, and abnormal event identification.
Graph Neural Network to Analyze Protein Secondary Structure
Bengali Automatic Speech Recognition (ASR)
Biological Life Detection through Rock Classification
π οΈ Technical Skills
Programming Languages
AI & ML Frameworks
Backend & APIs
Database & Retrieval
MLOps & Deployment
Web Development
π Education
B.Sc. in Computer Science and Engineering
Jul 2019 β May 2023
CGPA: 3.97 out of 4.00 (Summa Cum Laude)
Batch Position: 1st (Department of CSE)
Undergraduate Thesis: Human Identification using Gait Landmarks
π Honors, Certifications & Leadership
Certifications & Workshops
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Machine Learning Specialization (2023)
Stanford Online & DeepLearning.AI (Coursera) -
Technical Workshop Instructor (2022 β 2023)
Conducted multiple hands-on workshops on Java, Image Processing, and related topics at United International University (UIU).
Extracurricular Leadership
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Senior Executive, Research & Development (2021 β 2023)
UIU Robotics Club -
Programming Wing Executive (2021 β 2023)
UIU Computer Club -
Instructor (2020 β 2023)
UIU App Forum