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Md. Farhad Billah
farhadbillah2020@gmail.com
I am working as an AI Engineer at SM Technology, Dhaka,
Bangladesh.
AI Engineer with 2+ years of experience in OCR, voice assistants, text-to-video,
and AI-powered content generation. Skilled in LLMs, RAG, FastAPI, and computer
vision, with experience developing educational AI content for children.
Passionate about turning research into scalable real-world solutions. Author of
3 IEEE/journal and conference papers. Japanese proficiency: JLPT N5 (日本語).
CV /
GitHub /
LinkedIn /
YouTube Channel / Google
Scholar
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BSc in CSE (Major: Data Science) at East West University, Dhaka, Bangladesh
2020- 2024
CGPA 3.08/4.00 (~ 85%)
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AI Engineer | SM Technology, Dhaka, Bangladesh
December 2024 – Present
Developed and deployed multiple AI-driven applications, including a
paragraph evaluator, image processing algorithms, text-to-video generator,
fitness
recommendation system, and voice-powered assistant. Additionally, built
intelligent solutions for content summarization, goal tracking, and
personalized self-improvement.
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Research Assistant | East West University, Dhaka, Bangladesh
January 2026 – Present
Worked on a capstone project in a team of four under the supervision of Dr.
Md. Sawkat Ali, Associate Professor. Led
end-to-end project planning, task allocation, and timeline management to
ensure timely delivery. Collaborated with
stakeholders to gather requirements, manage expectations, and present
project progress updates.
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Data Analyst Intern | Designers Do Futuro, Dhaka, Bangladesh
August 2023 – January 2024
Worked on diverse Machine Learning projects
involving data cleaning, transformation, preprocessing, enhancement,
and visualization. Built optimized pipelines to prepare high-quality
datasets for reliable model training and analysis.
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Programming Languages:
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Python, C++, C, And SQL.
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AI/ML & Generative AI:
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ML, DL, NLP, CV, RAG, MCP, PyTorch, TensorFlow/Keras, Scikit-learn, and LLMs.
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Frameworks & Tools:
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FastAPI, Docker, Postman, Git, Hugging Face, OpenAI, Groq, Pydantic, and Termius.
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Specialties (Applied & Data):
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OCR, Voice-to-Text, Text-to-Video, Image Processing, Recommendation Systems,
Pandas, NumPy, Data Cleaning, Data Visualization, Data Mining, Exploratory Data
Analysis (EDA), Statistical Modeling.
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Web Technologies:
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React, HTML, CSS
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Projects At SM Technology as AI Engineer
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[1]
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Hook - AI Rizz Wingman:An
AI
assistant that accepts images from
social media (Messenger, Instagram, LinkedIn,
and dating apps) and generates intelligent, context-aware replies to help users
respond appropriately and
effortlessly.
[App
Store]
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[2]
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MANIFEX:
It's a based paragraph evaluator that checks sentence structure and word usage, assigning marks
based on accuracy. The user provides a paragraph topic, and the AI suggests a list of required
keywords that
must be included in the paragraph.
[Google
Play Store] [Website]
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[3]
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DFTJUNKIE: Performs image enhancement, background removal, and
automatic
trimming using advanced image
processing algorithms.
[Website]
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[4]
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PR3DETOR FITNESS: The AI system can recommend different types of gyms
and include YouTube tutorial videos
on how to perform exercises. It also provides a private chat system, available for premium
subscribers.
[App Store]
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[5]
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GREETELY: Based on the user’s selected department, categories, tone of values,
and employee recognition
criteria, the system generates a concise email for the specified recipient and automatically
sends it.
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[6]
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AKKORD: The OCR system extracts key contract details such as risk, summary,
ownership, payment issues,
termination conditions, financial terms, missing protections, and unusual clauses. It also
includes a chat feature to
ask related questions.
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[7]
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DONNA LIFE: It is an AI voice assistant that helps you manage tasks hands-free
using natural voice commands. It
uses FastAPI and OpenAI models to create tasks, answer schedule questions, and offer smart,
contextual
assistance.
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[8]
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Youimah: Uses Google VEO3 for text-to-video generation. The system can add
background music, and
characters are able to talk.
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Projects At Designers Do Futuro as Data Analyst
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[1]
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TikTok Data Visualization: A comprehensive visualization of TikTok data with
proper data cleaning and
preprocessing. The project focuses on transforming raw data into clear, insightful, and
meaningful visual
analytics.
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[2]
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Predicting User Churn in Waze: A machine learning–based approach for enhancing
user retention strategies
through data analysis, data preprocessing, and data visualization.
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[3]
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FairFare: NYC TLC’s Advanced Fare Estimation App by Automatidata focuses on
training multiple machine
learning models. The system evaluates their performance and selects the best-performing model
for
accurate fare prediction.
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[4]
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Weather Impact on NYC Subway: Rainfall classification using multiple machine
learning models to analyze
patterns and improve prediction accuracy.
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