Raheenul Hasan
AI/ML Engineering Leader @ Apple | GenAI & Search Platforms | LLMs & RAG | Kafka & Vector Databases | Cross-functional Team Leadership
- Role
- Senior Software Engineer (Applied Machine Learning) at Apple
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Raheenul Hasan
Engineering leader with 11 years of experience building and scaling AI-powered platforms across Search, FinTech, Health-Tech, and global consumer products.At Apple, I work on Generative AI and semantic search platforms, focusing on LLM inference systems, RAG pipelines, and large-scale search infrastructure serving multi-locale global users. I lead a team of engineers and collaborate closely with product, security, and platform stakeholders on system design and execution.Key Achievements- Spearheaded enterprise-wide GenAI initiative with RAG and semantic search capabilities- Engineered Kafka pipelines handling 100M+ encrypted records with zero-lag disaster recovery- Transformed search experiences across 112 locales for millions of users- Reduced application downtime from 22 days to <1 day (2100% efficiency gain)- Saved 30K+ man-hours annually through enterprise search solutions- Achieved cultural shift to 80% test coverage across all applicationsPrimary areas of focus:GenAI platforms · Search infrastructure · Distributed systems · Streaming architectures · Engineering leadershipLet\'s connect if you\'re passionate about AI/ML, financial technology, or building high-performance engineering teams!
Experience
Senior Software Engineer (Applied Machine Learning)
Mar 2022 — Present · Hyderabad, IN
Key Achievements- Architected and deployed RAG-based semantic search system, improving search relevance by 35%- Built real-time Kafka pipelines processing 100M+ encrypted records daily with zero-lag disaster recovery- Led global search optimization initiative spanning APAC, EMEA, and Americas regions- Reduced critical application downtime from 22 days to <1 day annually (2100% efficiency improvement)- Implemented enterprise search solution saving engineering hours annually- Drove team-wide adoption of testing best practices, achieving 80% code coverageTechnical Stack: Python, Java, LLMs (GPT-4, Claude, Llama), RAG, Vector Databases, Kafka, Kubernetes, AWS/GCP, PyTorchLeadership: Manage cross-functional collaboration with Product, Design, and Data Science teams; mentor junior engineers; drive technical architecture decision
Education
Amity University Lucknow Campus
B.Tech CSE, Computer Science and Engineering
2011 — 2015
Birla Institute of Technology and Science, Pilani
M.Tech , Computer Software Engineering
Skills
- Xml
- C
- Programming
- Microsoft Powerpoint
- Html
- Python
- Javaserver Pages (Jsp)
- Oracle Sql Developer
- Sql
- Linux
- Hibernate
- Maximo
- C++
- Javascript
- Microsoft Sql Server
- Mysql
- Spring Mvc
- Core Java
- Windows
- Ibm Db2
- Microsoft Excel
- Java
- Microsoft Office
- Teamwork
- Team Management
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