Raheel Rehman
Open to work3 years experienceApplied AI/ML Engineer
Applied AI/ML Engineer
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Skills & Technologies
51 skillsWork Experience
Applied AI Engineer
Independent research and professional development
- Designed and deployed a multi-agentagentic AI pipeline using LangChain, LangGraph, and HuggingFace sentence embeddings, engineered retrieval workflows with FAISS vector search, semantic similarity scoring and production monitoring via FastAPI achievingsub-15s inference latency.
- Implemented generativedeep learning architectures (GANs, Autoencoders)in PyTorch over10 years of historical financial data to synthesise training data, improving downstream accuracy by6% and reducing model loss by 12%.
- Architected and built recommendation, ranking and similarity search models using PCA, cosine similarity and k-means across650K+ records. Applied offline simulation and A/B testing as pre-deployment validation, deployed via FastAPI and Docker with CI/CD integration,
Senior Analyst - Data Analytics
Goldman Sachs
- Led the design and ownershipof reporting and analytics infrastructure across EMEA and APACmulti-asset loans, mortgage and collateral lending businesses.
- Built automated compliance signal detection systems in Python and SQL that proactively surfaced95% of data inconsistencies before regulatory review, reducing policy breach exposure and enabling faster enforcement response.
- Deployed cloud-backedETL pipelines with embedded validation frameworkssupportingUSD 10 billionin global collateral portfolios, reducing reporting latency from multi-day cycles to near real time.
- Architected scalable SQL data models and Tableau dashboards supportingreal-time monitoring of USD 2 billionin Tokyo-based structured finance collateral exposure.
- Defined and ownedKPI frameworks for USD 4B+ portfolios, building time-series threshold monitoring systems that enabled proactive breach prevention, directly reducing regulatory and operational risk.
- Partnered withbusiness, tech and product teams across EMEA and APACto translate evolving product structures and exposure requirements into scalable analytics frameworks, ensuring continuous alignment between risk infrastructure and business strategy
Projects
Agentic Document Intelligence System
- Built an agentic document intelligence platform using LangChain to orchestrate retrieval, prompt engineering and reasoning workflows. Developed and deployed the system as a FastAPI-based microservice via Dockerized infrastructure for scalable, reproducible inference.
Leaderboard Standings
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AI Collaboration Score
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Role Compatibility Profile
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About Details
Professional Bio
Applied AI/ML Engineer with 3 years of experience building compliance-grade systems in regulated financial services and deploying end-to-end agentic AI pipelines. Experienced translating ambiguous finance problems into auditable, deterministic solutions.
Bachelor of Technology in Mechatronics, Minor Specialization in Data Science
Manipal Institute of Technology ( - Present)
IBM Data Science, IBM Deep Learning with PyTorch, Keras & TensorFlow, IBM Generative AI Engineering
IBM ( - Present)