• Leading the design and development of a production-grade software application from scratch, utilizing modern frameworks and deployment pipelines.
• Proposing and implementing improvements in company-wide engineering workflows to enable faster and more reliable release cycles.
• Building robust debugging and testing systems to proactively catch and resolve code-level issues, enhancing product stability and user confidence.
• Applying AI-based techniques and mathematical programming methodologies to optimize core features and deliver smarter, data-driven outcomes.
• Collaborating cross-functionally with senior engineers and stakeholders to align engineering output with business goals and product vision.
• Authoring comprehensive technical documentation to ensure long-term maintainability and smooth knowledge transfer within the engineering team.

• Wrote documentation for company's mono-repo software solutions using confluence.
• Built robust email marketing infrastructure using AWS SES & Pinpoint for customer acquisition and product pitching.
• Engaged with customers to gather feedback and understand pain points
• Utilized tech stack: AWS, React, JS/TS, Docker, Supabase, NodeJS, Turbo Repo, ESLint, Postgres, Storybook, Vitest.

• Conducting applied research to solve real-world challenges through machine learning and AI
• Designing and building scalable ML/AI systems to address impactful problems
• Leading technical initiatives and cross-functional teams in AI/ML projects
• Publishing research findings in reputable journals and conferences

• Working on solving real-world "energy" related problems.
• Data analysis, EDA, model training.
• Successful model training and deployment.
• Research paper analysis and publication.

From now on, I will officially review the research papers for the ScienceDirect (Elsevier) starting with Biomedical Signal Processing and Control.

From 2024 onward, I will officially review the research papers for the IEEE Access Journal (Q1).

• Conducted 5 lab classes for the Fall 2024 Trimester
• Provided guidelines and counseling to the students
• Assisted in some Machine Learning based research projects

Assisted a PhD project in Deep Learning and Clinical 3D image dataset

Technologies

• PyTorch
• Tensorflow
• FastSurfer
• ResNet50 Architecture
• VGG16

• Managed the GenAI laboratory with 52 RTX 3090 GPUs.
• Supervised the hardware and software implementation.
• Overviewed the GenAI implementation process.

• Analyzed multiple production-grade software
• Organized various kinds of projects for different use cases
• Handled technical documentation

Taken Courses:

🔹 Introduction to Computer Systems (ICS) Lab - Got offered but not taking this trimester
🔹 Object Oriented Programming (OOP) Lab
🔹 Advanced Object Oriented Programming (AOOP) Lab
🔹 Digital Logic Design (DLD) Lab

☑️ Wrote technical articles regarding APIs
☑️ Wrote project overview and step-by-step guidelines on Database and Backend servers.

• Contributed to the official news channel with multiple popular content related to AI, ML, software engineering, Linux, and so on.
• Maintained the official GitHub repository during the Bengali localization effort.

♦️ Handled the official GitHub repository for all news translations.

♦️ Contributed to the official curriculum.

♦️ Translated multiple articles.