Thabassum Aslam

Developed and benchmarked compact LLM/SLM systems for code-generation and software-engineering tasks. Built agentic workflows for planning, code generation, tool execution, testing, debugging and iterative refinement. Optimized local inference for constrained desktop hardware; evaluated coding quality, latency, memory usage and tokens/sec.

Founding AI Engineer at Aistatine (2025-12 – 2026-09)

• Developed and benchmarked compact LLM/SLM systems for code-generation and software-engineering tasks.
• Built agentic workflows for planning, code generation, tool execution, testing, debugging and iterative refinement.
• Optimized local inference for constrained desktop hardware; evaluated coding quality, latency, memory usage and tokens/sec.

AI Product & Strategy at Phoenix Capitals (2025-06 – 2025-10)

• Built data-driven workflows to extract actionable intelligence from financial information while supporting wealth-management operations involving ₹100Cr+ cumulative AUM.
• Generated 1M+ social-media views and qualified leads through data-informed growth initiatives; collaborated across operations, sales and client success.

Artificial Intelligence Engineer at Microsoft for Startups / Azure AI Project (2022-04 – 2022-09)

• Built and deployed an end-to-end AI e-commerce platform on Microsoft Azure in under 12 hours, integrating recommendation systems and intelligent news analysis.
• Developed a machine-learning recommendation engine and an NLP pipeline for unstructured news, trained and integrated an ML model into the product workflow.
• Designed the full flow across data processing, model inference, recommendation logic and integration

Master of Computer Applications (MCA) in Generative AI focused Thesis Project – SRM Institute of Science and Technology

BBA in Jeppiaar College, Vice President | Best Outgoing Student | AI in HRM – University of Madras

Artificial Intelligence with Python in Hands-on NLP, Search, RAG – Harvard CS50AI