Mentoring Students on CS-3714 Android App development.

I 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.

• • 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.

• 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.

• • 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.

• • 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).