Aamir Syed

AI Researcher

Singapore, Singapore, Singapore7 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Generative AI and NLP technologies.
Led AI teams to deliver impactful data-driven solutions.
Mentored young engineers in AI development.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI and NLP solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Information RetrievalGenerative AiMachine LearningLarge Language Models (llm)

Other Skills

EngineeringSystems DesignCross-functional CollaborationsRetrieval-Augmented Generation (RAG)Recommender SystemsAlgorithmsStakeholder ManagementKnowledge GraphsSoftware Development Life Cycle (SDLC)Fine TuningCost ReductionOptimizationPython (Programming Language)Agentic AI DevelopmentMulti-agent Systems

About

https://sites.google.com/view/aamirsyed/ I am a Machine Learning Engineer, specializing in Natural Language Processing. My interest curve steeps sharp in the direction of Data Analytics, Machine Intelligence, and Competitive Coding. My favorite vowels are 'A', 'I' :D I also mentor young engineers and help them build cool AI Tech, most notably at Smart India Hackathon and UNESCO's India-Africa Hackathon

Experience

7 yrs 5 mos

Total Experience

3 yrs 7 mos

Average Tenure

3 mos

Current Experience

Apple

Senior Machine Learning Engineer

Feb 2026 – Present · 3 mos · Singapore · Hybrid

ICT4 - Generative AI (NLP)

Artificial Intelligence (AI)EngineeringInformation RetrievalSystems DesignCross-functional Collaborations

Graphene services pte ltd

5 roles

AI Scientist

Sep 2023 – Jan 2026 · 2 yrs 4 mos

Responsibilities included resource allocation planning and sourcing / hiring talent - as the Founding Engineer for the ML team
I worked as an AI Scientist/Senior Machine Learning Engineer leading a team of MLEs to deliver value via proof of concepts and data-first agentic AI solutions.
Core Specializations : Information Retrieval, Search and Recommendation Systems, Sentiment Analysis, Semi-supervised and Unsupervised modelling
Our work during this time includes:
building agentic RAGs (with 'routing' for different types of retrievals and reasoning based on the query!)
building scalable data processing microservices
designing systems with an event driven + microservices architecture pattern
team building and hiring for the AI Team
building AI models for 'consistent' image and video generation; templating workflows, etc.

Information RetrievalGenerative AIRetrieval-Augmented Generation (RAG)Recommender SystemsAlgorithmsArtificial Intelligence (AI)+5

Founding Engineer - Senior Machine Learning Engineer

Promoted

Sep 2022 – Sep 2023 · 1 yr

Founding Engineer and team lead for the ML team.
Platform Engineering and Microservice APIs:
sharded, memory efficient text clustering
building a base ingestion engine that can be repurposed for RAGs, agentic search, etc
designed a few shot entity recognition pipeline, scalable to 100+ entity types with only 3 examples per type
migrated from LLMs to fine-tuned SLMs in house with <5% accuracy degradation and 50%+ cost reduction

Large Language Models (LLM)Machine LearningEngineeringFine TuningCost ReductionOptimization+1

Machine Learning Engineer

Sep 2020 – Sep 2022 · 2 yrs

MLE working on cutting edge applied ML.
My time during this was focused majorly on building algorithms and owning codebases for specific functions of the AI team:
Density based short-text clustering (1M+ datapoints, efficiently using a novel graph traversal approach 'Blitz Clustering')
Building and hosting optimized few-shot classifiers (RoBERTa, Distil-RoBERTa, SetFit)
Category Specific Sentiment Modeling
LLM based Chatbots
Naive and multi-modal RAGs

Machine Learning