Shadril Hassan Shifat

Software Engineer, Researcher

I’m Shadril Hassan Shifat, a software engineer and researcher passionate about creating reliable, human-centered AI systems that combine rigorous research with strong engineering. I work at the intersection of applied AI and large-scale software systems, aiming to make intelligent models not only powerful but also interpretable, safe, and reproducible.

My experience spans evaluating multilingual LLM reasoning, developing multi-agent research pipelines, and engineering scalable microservices, distributed systems, and event-driven architectures used in production for finance and healthcare applications. I enjoy turning complex AI ideas into real, high-performing systems through clean, maintainable code and thoughtful design.

My core focus areas include Deep Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Explainable AI (XAI), Reinforcement Learning (RL), and Agentic AI. I’m driven by the goal of building models that reason, explain, and collaborate effectively with humans. Across both research and engineering, I emphasize transparency, safety, and reproducibility to ensure that AI systems remain trustworthy and human-aligned.

shadril.shifat@gmail.comPrimary shadril.hassan@brainstation-23.com

Education

American International University — Bangladesh (AIUB)

Jan 2020 — Sep 2023

BSc in Computer Science & Engineering (CSE)

CGPA: 3.94/4.00

Relevant Coursework

  • Artificial Intelligence
  • Data Science
  • Human–Computer Interaction
  • Data Structures & Algorithms
  • Software Engineering
  • Advanced DBMS

Thesis: Detecting Mental Health Conditions using Machine Learning (ML) Techniques

Professional Experience

Brain Station 23

Software Engineer

Dhaka, Bangladesh

Mar 2024 — Present
  • Built Pocket eWallet, a distributed MFS platform integrating bank APIs; reduced transaction latency via parallel processing while preserving ordering and consistency constraints.
  • Developed a centralized email/SMS notification service (Unipet), improving reliability, observability, and delivery traceability across services.
  • Led migration of 18 years of legacy relational data; introduced schema normalization and indexing strategies for performance and scalability.
  • Architected and delivered microservices and event-driven systems across multiple projects, enabling asynchronous and fault-tolerant operations.
  • Contributed to One by MetLife Bangladesh chatbot using LLM-based RAG for customer query automation, with prompt design and guardrails.
  • Implemented Azure DevOps CI/CD pipelines for automated build, test, and multi-environment deployments.
  • Mentored junior engineers and interns on engineering best practices and systematic problem solving.

ELITE Research Lab, LLC

Research Intern

Remote, New York, USA

Dec 2024 — Present
  • Benchmarking LLMs and collaborative agents to improve mathematical reasoning in low‑resource languages (Bangla) with rigorous evaluation.
  • Applied research in LLMs, NLP, RL, and generative models with a focus on healthcare, safety, and generalization.
  • Built a multi-agent deep research pipeline using Llama 3.2, RAG, and tool integration with provenance tracking and explainability.

Research Publications

  1. Hasan, M.J., Das, A., Matubber, J., Shifat, S.H., and Morol, M.K. (2024) ‘Enhanced Classification of Anxiety, Depression, and Stress Levels: A Comparative Analysis of DASS21 Questionnaire Data Augmentation and Classification Algorithms’. Proceedings of the 3rd International Conference on Computing Advancements, pp. 435–442. doi:10.1145/3723178.3723236.
  2. Kabiruzzaman, M., Shidujaman, M., Shifat, S.H., Debnath, P., and Hossain, S. (2024) ‘Time series analysis of care records data for nurse activity recognition in the wild’. In: Human Activity and Behavior Analysis, pp. 405–415. CRC Press. doi:10.1201/9781003371540-28.
  3. Hasan, M.J., Matubber, J., Shifat, S.H., Hossain, R., Morol, M.K., and Hossen, M.J. (2025) ‘An In-Depth Exploration of Machine Learning Methods for Mental Health State Detection: A Systematic Review and Analysis’. Frontiers in Digital Health. Status: under peer review.

Research & Development Projects

Deep Research Assistant
September 2025
  • End-to-end multi-agent reasoning system with Planner, Searcher, Verifier, Writer, and Evaluator modules to automate cited report generation.
  • Built with Python, Gemini API, Tavily API; LangChain-style orchestration; Gradio UI and CLI enable autonomous, transparent, and reproducible workflows.
Hybrid Log Classification
June 2025
  • Hybrid production log classifier combining regex for structured patterns and MiniLM embeddings with Logistic Regression for context.
  • Optional LLM fallback; delivered via FastAPI (CSV upload) and CLI for scalable labeling.
AI Resume Analyzer
February 2025
  • AI-powered resume ranking suite with Gradio UI; ranks PDF/DOCX against job descriptions using sentence-transformer embeddings and keyword boosts.
  • CSV export, optional Ollama refinement, and a Django API for integration.

Technical Skills

Programming: Java, Python, C++, JavaScript, R, Matlab, SQL
Frameworks & Libraries: Spring Boot, FastAPI, PyTorch, Keras, scikit‑learn, LangChain, Hugging Face
Databases: MSSQL, PostgreSQL, ORACLE, Redis, FAISS, Pinecone, MySQL
Architecture & Design: Monolith, Vertical Slice, MVC, REST, CQRS, SOLID
DevOps & Tools: Git, CI/CD, Jenkins, Docker, Kubernetes, Linux, Figma, Azure Pipelines, Amazon S3

Tests

IELTS (British Council)

Overall Band Score 7

3 October, 2025

Reading 7.5 • Listening 7.0 • Writing 6.5 • Speaking 6.5

Achievements

  • Graduated in the top 2% of class; awarded Magna Cum Laude.
  • Dean’s List honors (6×) and academic scholarships each semester.
  • Top 10 in Intra‑AIUB Programming Contest (Fall 2021–22).
  • Solved 800+ algorithmic challenges on LeetCode, Codeforces, HackerRank.
  • Ranked among top teams in Code Samurai 2022 Hackathon.

References

  • Md. Kishor Morol - Assistant Professor (On Leave), Department of Computer Science, American International University-Bangladesh (AIUB); CEO, ELITE Research Lab. kishor@elitelab.ai
  • Dr. Md. Kabiruzzaman — Associate Professor, Faculty of Engineering, American International University—Bangladesh (AIUB). kabiruzzaman@aiub.edu
  • Dr. Mohammad Mahmudul Hasan — Associate Professor, Special Assistant[CS], Department of Computer Science, American International University—Bangladesh (AIUB). m.hasan@aiub.edu