Al Aqmar Damana

AI Researcher

Bengaluru, Karnataka, India1 yr 9 mos experience

Key Highlights

Expert in building production-grade AI applications.
Proven track record in Generative AI and LLM systems.
Strong experience in designing scalable AI solutions.

Stackforce AI infers this person is a skilled AI/ML Engineer specializing in Fintech and SaaS solutions.

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Skills

Core Skills

Generative AiAgentic Ai DevelopmentMachine Learning

Other Skills

AWSPython (Programming Language)Exploratory Data AnalysisResponsible AIArtificial Intelligence (AI)Amazon Web Services (AWS)Azure OpenAIDeep LearningNatural Language Processing (NLP)Large Language Models (LLM)Microsoft Azure Machine Learning

About

I build AI systems that actually work in production. Currently an AI/ML Engineer at Empower, working on Generative AI, LLM-powered applications, and agent-driven systems. My focus is on designing scalable, real-world AI solutions that integrate seamlessly into business workflows. My experience includes: • Building end-to-end RAG pipelines with measurable improvements in retrieval quality • Designing multi-agent systems for decision-making and automation • Fine-tuning embedding and LLM models to improve performance • Developing scalable AI platforms mainly using AWS At Genpact, I worked on: • Agentic recommender systems for insurance personalization • Demand planning systems using event-driven AI agents • Data enrichment pipelines combining LLMs + ML models • Full-stack fine-tuning platforms for embedding optimization I enjoy working at the intersection of: • LLM systems + backend engineering • Agentic workflows and orchestration • Applied AI in real-world production environments Currently exploring how agent-driven architectures can move beyond static AI applications and deliver more autonomous, adaptive systems.

Experience

1 yr 9 mos

Total Experience

Average Tenure

Current Experience

Empower

Engineer AI/ML

Apr 2026 – Present · 2 mos · Bengaluru · Remote

Agentic AI DevelopmentGenerative AI

Genpact

Business Analyst

Jul 2024 – Feb 2026 · 1 yr 7 mos · Bengaluru · On-site

As an AI Engineer collaborating across client projects and R&D activities, I:
Built an end-to-end agentic recommendation system on AWS (Bedrock, Lambda, DynamoDB) to rank insurance policies using user profiles and natural language queries
Designed dynamic re-ranking algorithms with statistical weighting and agent reasoning, improving personalization and explainability
Developed an agent-based demand planning system to analyze external event data (PDFs) and dynamically adjust SKU-level forecasts
Implemented agent workflows to evaluate event impact and automate forecast adjustments with alerting mechanisms
Built a Generative AI-based data enrichment platform using RAG pipelines and web-search agents to enhance enterprise datasets
Integrated ML models (BERT) for feature prediction, improving downstream analytics quality
Designed a full-stack embedding model fine-tuning platform on AWS SageMaker
Improved retrieval performance in RAG pipelines by 15–30% through systematic evaluation and tuning
Improved sentence similarity accuracy from 75% → 92% by transitioning from Siamese networks to cross-encoders
Evaluated open-source models vs proprietary models to optimize cost-performance trade-offs