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@bilalaamer
Senior AI/ML engineer driving GenAI solutions and production-ready ML systems.
I am a Senior AI/ML Engineer and Data Scientist focused on building GenAI solutions and production-grade machine learning systems for enterprise clients.
I have led end-to-end PoCs and implementations for large organizations, including BNY Mellon and Fractal Analytics, designing multi-agent orchestration platforms and integrating state-of-the-art LLMs such as Deepseek R1.
As a founding engineer at an AI startup and through research roles at IIT Hyderabad, I have hands-on experience with model development, data curation, reinforcement learning (DQN), and deploying full-stack applications using modern tooling and cloud platforms.
I bring a pragmatic, documentation-driven approach to engineering, emphasizing clean data, reproducible experiments, and close collaboration with stakeholders to deliver measurable results.
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Work history, roles, and key accomplishments
Fractal Analytics
Jan 2025 - Apr 2025 (3 months)
Solely pioneered a GenAI PoC for Forbes 500 clients, developing NLP solutions using cutting-edge LLMs (Deepseek R1) and contributing to AICS department initiatives for client-facing GenAI systems.
BNY Mellon
Jun 2024 - Oct 2024 (4 months)
Led development of a GenAI PoC for BNY Mellon’s client onboarding platform, designing and implementing a multi-agent orchestration solution on an internal platform and collaborating with AI leadership.
Anarchy AI
Nov 2023 - Feb 2024 (3 months)
Integrated state-of-the-art open-source LLMs into product workflows, authored technical documentation for the LLM-VM package, and collaborated on product roadmap and stakeholder alignment.
IIT Hyderabad - Technology Research Park
Sep 2022 - Jan 2023 (4 months)
Curated and annotated client datasets and implemented a state-of-the-art model architecture that achieved an initial accuracy of 85% for research and client projects.
Degrees, certifications, and relevant coursework
Integrated Dual Degree (BTech + MTech), Computer Science and Engineering
Activities and societies: Relevant coursework: AI, ML, Neural Networks & Deep Learning, Data Mining, DBMS, OOPS, OS, DSA, Speech Processing, Advanced DBMS, Advanced DSA; student projects included AutoPaLM (autonomous agent, reinforcement learning) and Locus 2.0 (full-stack app with GPT-3.5-turbo query bot).
Completed an Integrated Dual Degree (BTech + MTech) in Computer Science and Engineering with coursework in AI, ML, neural networks, deep learning, data mining, DBMS, operating systems, and advanced data structures.
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