Mahabub (H) A.
LLM AI Assistant for Dementia Care
Experience
Jan 2025 - Present
10 monthsLLM AI Assistant for Dementia Care
- Developed an LLM-powered conversational assistant (GPT-4, LangChain, RAG with ChromaDB) to support dementia patients with daily routines and memory reinforcement.
- Enabled knowledge orchestration via adaptive reminders, context retrieval, and natural-language interaction, improving caregiver efficiency and patient autonomy.
Jan 2024 - Dec 2025
2 yearsGenerative AI for Personalized Learning
- Architected GenAI models for adaptive learning paths, dynamically generating personalized content based on learner progress and interaction data.
- Improved learner engagement and retention through RAG-enabled knowledge bases and PEFT fine-tuning of HuggingFace models.
Aug 2023 - Present
2 years 3 monthsMunich, Germany
Team Lead – Engagement & Relevance
OLX eCommerce
- Lead a cross-functional squad of backend, frontend, and ML/data engineers, balancing hands-on contribution (architecture, coding, reviews) with team leadership (mentoring, backlog prioritization, roadmap alignment).
- Designed and delivered ML-powered search and discovery features, including Learning-to-Rank (LTR), query expansion, and vector search, improving result relevance and user engagement.
- Implemented personalization and recommendation pipelines, using behavioral data and segmentation to increase customer retention and lifetime value.
- Established data-driven practices, building A/B testing and experimentation workflows (Odyn, MLflow) to measure feature impact on CTR, NDCG, and conversion.
- Owned the squad’s architecture and delivery roadmap, modernizing services with cloud-native microservices and event-driven systems (AWS, Pulumi, Terraform) to improve scalability and reliability.
- Improved reliability and operational excellence, introducing observability (Prometheus, Grafana, NewRelic), incident management, and postmortems that reduced downtime for customer-facing services.
- Mentored and supported engineers, fostering technical growth, collaboration, and a customer-first mindset through regular feedback, coaching, and code reviews.
- Worked closely with product managers, researchers, and business stakeholders to translate customer insights into technical solutions that improved discovery, engagement, and retention.
- Explored Generative AI/LLM use cases (GPT-4, LangChain, RAG), prototyping intelligent assistants and personalized discovery workflows that increased user satisfaction.
- Delivered tangible results: boosted engagement through personalization, contributed to revenue uplift, and reduced incidents by embedding resilience and observability.
Apr 2022 - Jul 2023
1 year 4 monthsMunich, Germany
Lead Engineer – Relevance & Engagement
OLX eCommerce
- Acted as Lead Engineer, hands-on in design and development of ML-driven discovery, recommendation, and engagement services powering millions of daily users across 12 European markets.
- Guided and implemented core features: Learning-to-Rank (LTR) models, semantic query expansion, vector embeddings, and personalized ranking pipelines to improve discovery, retention, and engagement.
- Built and extended experimentation frameworks and A/B testing pipelines (MLflow) to evaluate search and recommendation improvements with robust metrics (CTR, NDCG, conversion).
- Owned the architectural roadmap for discovery and engagement, migrating legacy monoliths to cloud-native microservices and event-driven systems (AWS, Kubernetes, Terraform) supporting near real-time ML inference at scale.
- Contributed code and reviewed critical components, ensuring reliability, scalability, and best practices in search engineering and ML model deployment.
- Mentored engineers and technical leads, guiding them in development, experimentation design, and resilient architecture; aligned closely with product managers, business stakeholders, and data scientists to translate business goals into technical solutions.
- Delivered measurable outcomes: +13.7% marketplace revenue uplift from ML-enhanced relevance features, and –30% incidents by embedding observability (Prometheus, Grafana, NewRelic) and resilient system design.
Apr 2020 - Mar 2022
2 yearsMunich, Germany
Team Lead Engineering – Depot Banking & Discovery Platform
Union Investment
- Led and shaped a cross-functional organization of engineers and ML engineers, balancing hands-on technical leadership (architecture, code reviews, prototyping) with strategic leadership (team development, stakeholder alignment, delivery roadmaps).
- Directed the modernization of mission-critical banking platforms (Depot, Banking Workspace, Integration Services), migrating from monoliths to cloud-native microservices and event-driven architectures on OpenShift, ensuring regulatory resilience, scalability, and high availability.
- Applied advanced analytics, tracking data, and A/B testing to understand customer behavior, optimize user flows, and improve satisfaction scores along the B2B and B2C customer journeys.
- Designed search and retrieval services, optimizing ranking and relevance for high-volume financial data queries using ElasticSearch, NLP, and ML models.
- Innovated with AI/ML for customer engagement and personalization, building pipelines with MLflow, Airflow, and Kafka to enable predictive modeling, personalized recommendations, and intelligent decision support.
- Strengthened reliability and operational excellence by introducing SLA/SLO-driven observability, structured incident management, and 3rd-level support; downtime reduced by 20%, improving trust and loyalty across critical banking services.
- Established governance and compliance frameworks, embedding Secure SDLC, dependency scanning, and CI/CD pipelines (GitLab CI, Jenkins) to ensure predictable, auditable, and secure delivery in a regulated financial environment.
- Mentored and developed senior engineers and team leads, fostering ownership, technical excellence, and customer-first thinking; instituted career growth frameworks and peer-learning practices to scale leadership capacity.
- Collaborated closely with Finance, Risk, Marketing, and Product stakeholders, translating business goals and compliance demands into technical solutions; secured buy-in for AI-driven engagement strategies and platform upgrades.
- Delivered both immediate impact and long-term innovation: while ensuring regulatory stability and uptime, initiated exploratory work on semantic search, personalization, and AI-enhanced customer journeys to future-proof Union Investment’s platforms.
Nov 2017 - Mar 2020
2 years 5 monthsMunich, Germany
Lead Engineer – B2B eCommerce
MAN Truck & Bus SE (Volkswagen Group)
- Spearheaded the setup and launch of a high-traffic B2B eCommerce platform for After-Sales and Parts, enabling digital order management, advanced parts catalog search, and seamless ERP/CRM integration across VW/MAN service networks.
- Designed and implemented core search and discovery features using Java (Spring Boot), Python, and ElasticSearch to deliver scalable, reliable, and intuitive experiences for enterprise customers.
- Optimized search engine ranking and relevance, leveraging tracking data, analytics, and user behavior signals; applied NLP techniques (semantic search, entity recognition) and ML models (TensorFlow, scikit-learn) for personalization and query understanding.
- Migrated legacy monoliths to cloud-native microservices, deployed on AWS, Docker, Kubernetes; introduced event-driven and service patterns to ensure scalability, compliance, and long-term maintainability.
- Built operational excellence for a high-traffic eCommerce environment: established structured incident management and 3rd-level support processes, introduced observability (SLA/SLO dashboards, proactive monitoring), and reduced MTTR by 25%.
- Provided mentorship and technical leadership to engineers, fostering growth through code reviews, career development paths, and peer learning sessions; cultivated a strong culture of ownership, collaboration, and delivery consistency.
- Collaborated with product managers, data scientists, and strategic partners (RIO, Scania, Harman) to align eCommerce, search, and AI/ML solutions with customer needs and industry roadmaps.
Apr 2016 - Oct 2017
1 year 7 monthsSenior Software Engineer / Consultant
ARS Consulting → IBM
- Built enterprise web applications (IBM License Management Tool, Datev e-Termin) with Angular, Node.js, and Python/Django.
- Supported consulting projects with scalable, secure solution design and integrations.
Aug 2014 - Mar 2016
1 year 8 monthsEngineering Lead – E-Commerce Startup
Combyne GmbH
- Scaled the engineering team from Seed to Series A, delivering core ERP/e-commerce features.
- Introduced modular frameworks and automation to improve reliability and release cadence by 30%.
Jul 2012 - Oct 2013
1 year 4 monthsSoftware Engineer
Tiger IT LTD
- Developed biometric recognition modules (Finger & Palm Vein AFIS) achieving 98.7% accuracy for high-security ID programs.
Summary
Engineering Leader with 13+ years of experience building high-traffic platforms, relevance and discovery, and customer engagement solutions. Proven ability to lead squads and mentor engineers while actively contributing to architecture, coding, and experimentation. Skilled in search relevance, personalization, and ML/AI-driven features, and experienced in using A/B testing and analytics to guide product decisions. Adept at balancing technical depth with business alignment, ensuring scalability, reliability, and measurable impact in engagement, retention, and revenue.
Motivated to drive data-driven customer experiences and resilient engineering practices, fostering continuous improvement and long-term value creation.
Languages
English
NativeGerman
AdvancedEducation
Oct 2013 - May 2015
Technical University of Munich
Master of Science, Informatics · Computer Science · Munich, Germany
Jan 2009 - Aug 2012
North South University
Bachelor of Science · Computer Science · Dhaka, Bangladesh
Certifications & licenses
Azure Gen AI Associate
Microsoft Azure
Generative AI with Large Language Models
DeepLearning.AI
Supervised Machine Learning
Stanford/DeepLearning.AI
AWS Certified Cloud Practitioner
TOGAF
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