Akshay Deep is an Associate AI Architect with 11 years in tech and 8+ years focused on machine learning, deep learning, and data science, currently driving LLM evaluation, RAG systems, and semantic search at Impact Analytics. He blends production-grade ML engineering with domain experience in BFSI and healthcare, and a strong background in computer vision, NLP, and speech systems. Akshay has led end-to-end solutions—from OCR and zero-shot image similarity to abstractive summarization and speaker diarization—while applying Responsible AI and governance practices to LLM validation. Comfortable across the stack, he pairs statistical rigor and software engineering skills to operationalize models in real-world workflows. Based in Bengaluru, he brings a research-to-production mindset shaped by roles at TCS Research, Synechron, and enterprise software teams. An operator who equally values model quality and auditability, he often works with both open and closed LLMs to balance innovation with compliance.
11 years of coding experience
10 years of employment as a software developer
BE - Bachelor of Engineering Electronics and Telecommunication, BE - Bachelor of Engineering Electronics and Telecommunication at PES University
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