Summary
Abhijith Chandraprabhu is a seasoned AI solutions leader with 12+ years of experience designing and delivering enterprise-grade generative AI, recommender systems and ML pipelines across telecom, healthcare, finance and e-commerce. Currently Director – AI Solutions at Tekstac after leading AI and recommender initiatives at Wipro embedded with Cisco, he combines production-first architecture with hands-on model fine-tuning of LLMs (OpenAI GPT, Llama family) and multimodal systems. He holds an MS in Computational and Applied Mathematics from Linköping University and early work includes a scalable recommendation algorithm at Julia Computing that beat Netflix Prize winners, reflecting deep expertise in collaborative filtering and temporal dynamics. A frequent instructor and community contributor, he has taught at IISc/MSRIT and led workshops at ODSC and PyData, and he actively contributes to open-source AI tooling within the Julia ecosystem. Known for translating complex workflows into intuitive, AI-powered self-service applications, he bridges research-grade math with pragmatic business impact. Outside client work he fosters organizational capability building through structured learning programs, signaling a focus on sustainable AI adoption rather than one-off projects.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (B.E.) Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electronics and Communications Engineering at Visvesvaraya Technological University
National Public School, Rajajinagar, Bangalore
Master of Science (MS) Computational and Applied Mathematics, Master of Science (MS) Computational and Applied Mathematics at Linköping University
English, Swedish