Md Abdul Hasib

[email protected] • +353 87 094 75887 • Dublin, Ireland
LinkedIn: in/md-abdul-hasib • GitHub: github/imsazzad

PROFESSIONAL SUMMARY

Senior Machine Learning Engineer specializing in developing scalable, production-grade AI solutions leveraging Large Language Models (LLMs), Generative AI, and AWS SageMaker. Proven track record of rebuilding platforms that improved processing efficiency by 40% and deploying multilingual semantic search systems that increased retrieval accuracy by 25%. Adept at designing entity matching algorithms and delivering end-to-end machine learning workflows using Python, Ruby, and C++, driving innovation and business growth in fast-paced environments.

WORK EXPERIENCE

Senior Machine Learning Engineer
01/2025 - Present
Fresco (Ireland)
• Led the complete platform rebuild leveraging Large Language Models (LLMs) and Generative AI, enabling seamless recipe import from URLs, TikTok, and YouTube Shorts, supporting 5+ appliance types and 10+ locales, increasing user engagement by 25%
• Delivered advanced semantic search and entity matching capabilities using AWS OpenSearch and multilingual embeddings across 15+ languages, improving search accuracy by 30% and reducing query latency by 20%
• Developed and deployed scalable machine learning workloads on AWS SageMaker, including automated training, hyperparameter tuning, CI/CD pipelines, and real-time monitoring, resulting in a 40% reduction in model deployment time
• Implemented a multi-unit measurement system and automated multi-locale recipe ingestion with dynamic unit conversions, enhancing data consistency and expanding platform reach to international markets, contributing to a 15% growth in active users
Machine Learning Engineer
01/2022 - 12/2024
Fresco (Ireland)
• Led the rearchitecture of the AI-driven Recipe Import platform using AWS serverless and cloud-native orchestration, reducing import latency from 60 seconds to under 10 seconds, achieving a 6× performance improvement and accelerating data availability for downstream applications
• Scaled the platform to handle over 55,000 annual requests with a 99.1% success rate, enhancing system reliability and strengthening partner integrations, resulting in a 15% increase in partner satisfaction scores
• Designed and implemented end-to-end machine learning training pipelines for multiple NLP and classification models, including BERT-based text classifiers and custom entity recognition models, improving model deployment speed by 40%
• Developed a fully serverless Graph-based Recipe Entity Store on AWS, processing 45,000+ yearly requests and standardizing global recipe metadata, which improved data consistency across platforms by 30%
Lead Data Scientist
05/2021 - 12/2021
Umma (Indonesia)
• Led the development of a next-generation, highly distributed and scalable personalized Content Creator and Engagement platform, driving a 50% increase in user content engagement within 12 months
• Implemented advanced machine learning algorithms and real-time data processing pipelines using Python and Apache Kafka to optimize content personalization and delivery
• Mentored and disseminated technical knowledge to junior data scientists and cross-functional teams, accelerating skill development and fostering a culture of continuous learning
• Collaborated closely with product and engineering teams to align platform capabilities with business goals, resulting in improved customer satisfaction and retention rates
Staff Software Engineer in ML
04/2019 - 05/2021
Infolytx Inc ( Bangladesh)
• Worked as a Team Lead and Developer of a Data Quality Monitor System with Explainability, which reduces human effort up to 80% using the combination of old AI and new ML techniques, and with minimal human intervention during training
• Worked as an ML Lead and Developer of an AI-Powered visual intelligence system for Retail organizations that supports aisle management and monitoring in retail stores to improve employee efficiency, increase customer satisfaction, and increase revenue by up to 15% by boosting sales
• Designed and implemented the event-driven system, ml-backend, ml
• Implemented an Asynchronous prediction service that makes the system 3x faster
• Designed ML architecture to serve different ml models for different SKUs
• Decoupled ML system and Model to reuse it for multiple retail companies
• An automated training pipeline, which reduced human interruption by up to 70%
• Worked as a CSM with 4+ years of experience in Agile and Kanban
• Mentored and trained junior engineers about company culture, ML development best practices, etc
• Work with the CTO as a hiring manager for different job openings and take part in interviews
Consultant
01/2020 - 12/2023
deeplearning.ai
• Reviewing the upcoming courses on Coursera
Youtuber
08/2020 - 12/2023
Self
• Disseminate the knowledge I have gained to people in my short career in the software industry
Senior Software Engineer
11/2016 - 03/2019
Infolytx Inc, Bangladesh
• Automated the process of choosing the right patient for a clinical trial based on cohort identification from the patient’s EHR using NLP and classification for the N2C2 competition organized by Harvard Medical School and AMIA, secured a place in the top 5, and was invited to present our work at the conference
• Developed a Multi-tenant solution to monitor department stores adhering to the fragrance company’s planograms using Object detection, reducing human efforts up to 80%, and increasing efficiency
• Developed a Monitoring solution that allows Certified Nursing Assistants to keep track more closely of the ambulatory status of residents at eldercare and assisted living facilities using deep learning
• Implemented an AI-powered Receptionist, which responds to a broad array of visitor queries using the virtual eye and ear to make the front office service smoother
• Developed Clinical Text Annotator, structures unstructured clinical content by extracting and inferring medical terms, and maps the content to medical ontologies such as UMLS and SNOMED-CT
• Developed a conversational AI agent to help anyone learn about Infolytx, and designed the Framework to a certain extent so that all chatbot applications with different virtual agents can inherit it
Software Engineer
09/2015 - 10/2016
Infolytx Inc, Bangladesh
• Developed a PaaS Solution where content from sources like the FDA and social media was parsed and analyzed using Big Data technology to build a Machine Learning Predictive Model for adverse drug reactions
• Developed a web application to automate the annotation of Risk factors like Hyperlipidemia, diabetes, Hypertension, and Obesity using Regular expressions & ML and converting it to CDA, a structure of EHR defined by HL7, which saves the doctor’s time up to 40%
• Developed an Application for the sales force enablement for the Pharma industry by profiling and ranking physicians and generating drug recommendations for physicians using machine learning that saves doctors valuable time and allows users to choose a doctor by seeing their profiles
• Build a service API for showcasing the use of Augmented Reality to promote specials and offers by retailers wanting to build a social media buzz among their most loyal followers
Junior Software Engineer
08/2014 - 08/2015
Nascenia, Bangladesh
• Developed an automatic form filler for the IPO application in Bangladesh, boosting the company's revenue by increasing the users for the features and thus the overall product
• Implemented a Parser to parse the user’s stock information from the text data
• Set up Jenkins for continuous build, integration& deployment for company-wide projects

EDUCATION

B.Sc. in Computer Science and Engineering
07/2009 - 05/2014
BUET , Dhaka, Bangladesh GPA: 3.49/4

SKILLS

CERTIFICATIONS

Completion of 100 questions, System Design Assessment
AlgoExpert
Deep Learning Specialization
Coursera
Certified ScrumMaster
Scrum Alliance
Problem Solving
HackerRank
Certifications from Educative.io on different courses ( Coding Interview, System Design, Machine learning, k8s, Microservices, Concurrency)
Educative.io