I consider myself a hardworking and orderly person who excel in problem solving and helping out people. Research and learning new things are my forte. Right now I am focusing on gaining new experience by means of professional experience.
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As a Machine Learning and AI Engineer, I navigate the forefront of technological innovation, driven by an unyielding passion for generative AI and advanced machine learning applications. With a solid foundation in Computer Science and Engineering, I specialize in creating sophisticated AI-based solutions that push the boundaries of what's possible.
During my internship at Genuine Technology & Research Ltd., I gained hands-on experience in developing AI-driven systems. Here, I contributed to projects leveraging Large Language Models (LLMs) and advanced AI agents, enhancing automation and efficiency. This role not only deepened my expertise in NLP and machine learning but also sharpened my ability to implement real-world AI solutions.
My academic journey includes a compelling thesis project where I designed and trained a model to mimic an author's writing style, showcasing the intricate possibilities of AI in creative applications. Additionally, I have led numerous projects that span various AI applications, from offensive text detection to water quality prediction, demonstrating a comprehensive understanding of AI and its transformative potential.
Experience as a Student Tutor at BRAC University refined my leadership and communication skills, fostering a deep-seated enthusiasm for knowledge sharing and collaborative innovation. As I step into the ever-evolving landscape of the tech industry, I am eager to bring my technical acumen and creative insights to groundbreaking projects, embrace new challenges, and drive forward the future of AI and machine learning.
Bachelor of Science in Computer Science and Engineering
Duration: 2020 - 2024
CGPA: 3.81
HSC [Science]
Duration: 2017 - 2019
GPA: 5.00
SSC [Science]
Duration: 2015 - 2017
GPA: 5.00
October 2022 - December 2023
As a Student Tutor at BRAC University, I assumed a vital role in elevating the academic experience for my junior students. Specializing in Python programming, I orchestrated instructive sessions that not only enhanced technical proficiency but also fostered problem-solving abilities. Beyond code, I mentored fellow students, cultivating leadership skills and fostering a collaborative learning environment. This role not only deepened my understanding of OOP, Data Structure and Algorithms, but also honed my communication and interpersonal skills. My time as a Student Tutor stands as a testament to my commitment to education, leadership, and knowledge exchange, shaping my journey with a lasting impact on my professional endeavors in the tech industry.
March 2024 - May 2024
During my internship as a Python Intern at Genuine Technology and Research Ltd., I had the opportunity to work on several impactful projects and gain valuable experience in AI and machine learning. My responsibilities included:
- Worked with AI Agent systems to automate tasks, significantly contributing to increased efficiency and productivity within the team.
- Utilized Large Language Models (LLM) for various purposes, such as natural language processing and data analysis, to drive innovative solutions.
- Gained hands-on experience with AI-based software, particularly Retrieval-Augmented Generation (RAG) systems, which enhanced my understanding of machine learning algorithms and their practical applications.
- Collaborated with team members to develop and implement innovative Python-based solutions for real-world problems, ensuring our approaches were both effective and cutting-edge.
- Participated in regular code reviews, where I provided and received constructive feedback, helping to improve the overall quality of our codebase.
- Hands-on experience with FAST-API.
This experience allowed me to develop a strong foundation in AI and machine learning, as well as to contribute meaningfully to the projects and goals of Genuine Technology and Research Ltd.
Developed an AI-driven task automation system leveraging advanced AI agents and Large Language Models (LLMs) to learn and replicate user interactions.
Check ProjectDesigned and implemented offensive speech identification models utilizing BiLSTM, SVC, and Logistic Regression, showcasing proficiency in natural language processing and machine learning techniques.
Check ProjectDeveloped a Water Quality Detection Model employing SVM, Linear Regression, Decision Tree, KNN, Naive Bayes, and Logistic Regression to predict the safety of water samples, demonstrating expertise in diverse machine learning algorithms for environmental analysis.
Check ProjectConstructed author detection models for Bangla texts, leveraging BiLSTM and BiLSTM combined with BanglaBERT, showcasing proficiency in natural language processing and advanced deep learning techniques.
Check ProjectCFor context-driven Question Answering, I fine-tuned the ’meta llama/Llama-2-7b-chat-hf’ model, which showed superior performance. Utilized the ’SQuAD2.0’ dataset, which combines 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions.
Check ProjectImplemented Text Generation Models using Style Transfer technique by fine-tuning language models like BanglaT5 and mT5-small, demonstrating expertise in natural language processing and creative content generation.
Check Project
An AI chatbot focused on cricket using Retrieval Augmented Generation (RAG). Model Used -
1. 'TheBloke/Llama-2-7B-Chat-GGML' [Quantized llama 2 7B chat model]. Can be used to run offline in local CPU.
2. 'mistralai/Mistral-7B-Instruct-v0.1'[First quantized it and then implement RAG]
Developed a task automation system for LinkedIn, enhancing productivity through features like login automation, post analysis, automated reactions, and content extraction.
Check ProjectDeveloped a comprehensive Task Management Website using and PostgreSQL, empowering users to efficiently organize, track, and manipulate tasks, including features like task categorization, priority setting, image integration, and user profile management.
Check ProjectDeveloped a dynamic Doctor Recommending Website using Django and MySQL, incorporating advanced features such as personalized doctor searches, BMI calculation, user reviews, hospital admin tools, and real-time medical news aggregation, demonstrating expertise in full-stack web development and database managemen
Check ProjectEngineered a dynamic Resource Sharing and Course Review Website using MERN stack, integrating AI for sentiment analysis in course reviews, allowing users to contribute through reviews, blogs, resource sharing, and problem-solving, showcasing proficiency in full-stack development and innovative AI application.
Check ProjectDeveloped a versatile Text-to-Speech Converter application enabling both text-to-speech and speech-to-text functionalities, showcasing proficiency in Python and integration of essential libraries such as Tkinter, Pillow, SpeechRecognition, Wave, and pyttsx3
Check Project
Gold Awardee | Issued Dec 2018
Earned The Duke of Edinburgh's Gold Award, a prestigious and internationally recognized achievement, demonstrating commitment to personal development, leadership, and community service. Successfully completed a series of challenging expeditions, including learning programming, fostering resilience, teamwork, and problem-solving skills. Engaged in volunteer work, enhancing community impact and social responsibility. This accomplishment reflects dedication to self-improvement, perseverance, and a passion for making a positive contribution to both personal growth and the community.
Issued May 2024 | Credential ID YHGQPC4GTDMG
I am delighted to share my completion of the "Generative AI with Large Language Models" course from DeepLearning.AI and Amazon Web Services. This enlightening program expanded my knowledge of deploying large language models for generative AI tasks. Through a captivating blend of theory and hands-on practice, I gained invaluable skills in crafting and implementing sophisticated AI solutions. This accomplishment is a testament to my commitment to continuous learning and my enthusiasm for contributing to the dynamic and ever-evolving field of generative AI.
Issued Apr 2023 | Credential ID DYK78KKDML8X
I'm thrilled to announce my successful completion of the Coursera Neural Networks and Deep Learning course (Credential ID: DYK78KKDML8X). This immersive program not only deepened my understanding of neural networks but also empowered me to apply these skills to diverse projects. The hands-on approach allowed me to delve into practical implementations, solidifying my grasp on advanced topics. This knowledge is invaluable, providing a strong foundation to explore and contribute to cutting-edge developments in the dynamic landscape of neural networks. This credential reflects my commitment to continuous learning, positioning me to bring innovative solutions to the forefront of technological advancements.
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