Experience
My professional experience.
Associate Data Scientist
Cognitus Consulting LLC
Key Responsibilities:
- Played a pivotal role in guiding the conceptualization and development phases, actively contributing to the seamless implementation of LambdaX at industry leaders like Lockheed Martin.
- Led data integration optimization for LambdaX, an AI-powered Contract Lifecycle Management platform.
- Partnered with clients to design custom data workflows through automation and machine learning-driven process optimization.
- Developed LLM-powered workflow generation system using MCP server-based architecture, creating an intelligent chatbot for automated workflow creation and optimization.
- Built and maintained scalable ETL pipelines for contract data from SAP, Salesforce, and internal systems.
- Automated contract lifecycle processes to streamline operations using AI-powered document processing.
- Collaborated with cross-functional global teams (engineering, product, QA) in a remote setting to ensure data accuracy and alignment with business goals.
- Implemented centralized contract data management for real-time access and predictive analytics.
- Optimized system performance by resolving operational bottlenecks through algorithmic approaches.
Associate Software Engineer - Machine Learning
IdeaScale Bangladesh Limited
Key Responsibilities:
- Developed and enhanced machine learning models for recommendation systems, increasing user engagement by 15% through personalized suggestions.
- Designed a contextual recommendation system (proof-of-concept/research) powered by NLP and deep learning, improving recommendation relevance by 20%.
- Integrated OpenSearch as a vector database for data collection and embedding storage.
- Optimized text processing and embedding generation pipelines using transformer-based models.
- Deployed machine learning solutions via REST APIs with proper model versioning.
- Collaborated on microservice management to ensure system reliability in distributed ML environments.
Research Assistant
Young Learners' Research Lab
Key Responsibilities:
- Focused on Medical Imaging, Machine and Deep Learning, Computer Vision, character & pattern recognition, and Natural Language Processing.
- Developed deep learning models for medical image analysis using CNNs and attention mechanisms, improving diagnostic accuracy by 18%.
- Implemented computer vision algorithms for pattern recognition in clinical datasets using state-of-the-art architectures.
- Collaborated with medical professionals to design and validate AI-assisted diagnostic tools.
- Created NLP pipelines for processing and analyzing medical literature and clinical notes.
- Presented research findings at departmental seminars and contributed to 6 academic publications (2 first-author).
- Mentored junior researchers on machine learning methodologies and best practices.
Generative AI Trainer (Part Time)
Outlier
Key Responsibilities:
- Engaged in advanced AI model training through structured text conversations, providing expert feedback on language model performance, accuracy, and cultural/linguistic understanding.
- Conducted comprehensive AI response evaluation and hallucination detection, reviewing prompts and outputs for factual accuracy, grammatical correctness, and appropriate tone alignment.
- Performed systematic AI voice response analysis, evaluating models across multiple dimensions including instruction adherence, relevance, truthfulness, and harmlessness detection.
- Collaborated with AI development teams to enhance large language model capabilities through iterative feedback and quality assessment protocols.
- Applied rigorous model evaluation frameworks with prioritized assessment criteria, focusing on safety, accuracy, and instruction-following capabilities.
- Provided detailed performance justifications and analytical assessments to support continuous model improvement and development processes.