Research Scientist at Luminary-AI (January 2024-present)
Research Scientist at Luminary-AI (January 2024-present)
Building Customized Agentic Pipeline for customers.
Building Scalable QA system for long texts.
Used milvus vector database for searching similar contexts.
MLOps Engineer Luminary-AI (April 2023-August-2023)
Built a scalable QA system from scratch.
Scaled the ML backend using docker and kubernetes.
Graduate Teaching Assistant (August 2022-December 2023)
Mentored Students on CS-3714 Android App development.
Graded course projects on Android system design.
Research Intern PARC (May 24-August 19 2022 )
Interned For Palo Alto Research Center (PARC), Xerox CA, and developed a Visual Framework to Evaluate Explanation Methods for Graph Neural Network based Drug Screening Models (Patent Pending). Which is being used for discovering new drugs with specific properties.
Graduate Teaching Assistant (August 2021-Present)
Mentored students with coursework in software design, data structures, and algorithms for a class of 500+ students entirely in Java.
Helped students with coursework in problem-solving, data structures, and data mining for a class of 400+ students entirely in CPP, Java, and python.
Research Assistant(RA) at BUET, From November 2019 till
August 2021
Worked as a Research Assistant(RA) Under the supervision of Dr. Rifat Shahriar, at the Department of CSE, BUET. Published research on Neural code search, Code Summarization, Language Models ,and applications with ICT Bangladesh.
Worked under supervision of Dr. Anindya Iqbal Published paper on Bug fixing and review comment usefulness in collaboration with Samsung Research Bangladesh (SRBD)
Founding Member and alumni of the BUET CSE NLP group.
Jr. Software Engineer at, Reve Systems, From May till October 2019.
Solved the problem of data scarcity by Crawling, parsing and translating huge amounts
of text data and built a Bengali grammatical and spell error detection and correction
model using SOTA LM.
Built Bangla ASR system with Kaldi, ESPnet and Speech Brain With MFCC, Power Spectrum for Speech Recognition.
Built a face recognition attendance system for this company for automatic employee attendance using FaceNet, Keras OpenFace and Dlib merged the encoding for best performance with 0.04% miss.
Machine Learning Team Leader at Pioneer Alpha (Startup)
Instructing The ML team here as Machine Learning Head in this startup.
Built a language merged (bangla+English+Banglish) chat-bot popular for customer service with Rasa.
Built Facial recognition, Pose detection and other API’s using Flask, Django, FAST for this company.
Built Bike license plate detection system that detect bike riders not wearing any helmet using YOLOv5 and other pretrained and own trained models.(Code not Open Sourced).