Headline

WorldQuant | Ex-GSK | Ex-RSA Security

About

Artificial Intelligence is reshaping industries, and I’m trying to stay at the forefront of this evolving revolution. With deep interest in Large Language Models, Prompt Engineering, and MLOps, I guide startups, data engineers, content marketers, and undergraduates as they navigate the rapidly shifting AI landscape. My mission is to empower the next generation of AI innovators. I help budding STEM engineers find their niche in data engineering, support experienced professionals transitioning into ML/AI roles, and nurture early-stage teams to build practical, high-impact AI products. Using AI-powered learning strategies and custom roadmaps, I’ve helped several individuals achieve meaningful outcomes. I’ve mentored students exploring the open-source AI Safety ecosystem, contributed briefly to frameworks like Inspect AI, and built multiple LLM applications showcased on my GitHub. My approach blends hands-on engineering with curiosity-driven exploration. I work across modern AI stacks — open-source models like LLaMA, frontier systems like Claude, agentic frameworks, PyTorch ecosystems, and rapidly evolving toolchains such as crewAI. 2025 has been especially transformative. I participated in EAGx Bangalore, completed the Impact Academy AI Safety bootcamp, attended rationality meetups in Bangalore, and joined EAGx Online sessions where I met founders building evidence-based products across rationality, wellness, and health. These interactions expanded my understanding of how alignment, safety, and human-centered design must converge in the systems we build. I also completed my master’s defence in AI at IIIT, where I developed a culturally sensitive LLM-based travel agent — a small but meaningful attempt to blend AI capabilities with cultural nuance. In parallel, an unexpected chain of conversations with ChatGPT led me to a radical idea in neural network optimization. When Google DeepMind later released their work on nested learning, I felt a strange déjà vu. Revisiting my early notes reminded me that something deeper is still hidden in how these models learn — a curiosity I continue to explore privately. On the mentoring side, I also taught a student data science foundations this year — a reminder of why nurturing upcoming talent gives me joy. Whether you’re a startup integrating AI, a data engineer exploring ML, or an undergraduate discovering this field, I can help you navigate the AI revolution with clarity and purpose. Let’s connect and explore how we can shape your AI journey together.

Location

Greater Bengaluru Area

AI stack

antigravity

claude

codex

hugging face

notion

ollama

Work experience

Research Consultant at WorldQuant, May 2026 - Present · 4 mos, Greater Bengaluru Area

Education Mentor at Mentor Together, Jan 2025 - Present · 1 yr 8 mos, Remote, Mentoring data-science students on weekends, its more than a project, if I can transform just one life, it will be worth it.

Contributor at Arcadia Impact, Sep 2024 - Oct 2024 · 2 mos, Remote, Enabled responsible AI deployment by onboarding HF ZEROSCROLLS benchmark on inspect AI framework, impacting frontier models.

Principal Data Engineering Manager at Haleon, Jul 2022 - Mar 2024 · 1 y 8 mo, Bengaluru, Karnataka, India, - Established best practices for data capture, contextualization, and analytics, resulting in a 25% uplift in data accuracy. - Architected and rolled out self-service data flow automation, cutting analytics turnaround time by 40%. - Designed data mesh architecture for Post Event Analytics product to improve serving 500+ stakeholders, reducing data processing times by 30%. - Implemented enterprise data governance framework using Databricks, Azure enforcing quality & compliance, replicated across multiple global teams. - Oversaw a multidisciplinary team (15 direct ML/Data Engineers, 30 vendor architects/data engineers), achieving a 90% employee retention rate by shaping a collaborative culture and streamlined HR processes. - Build end-to-end MLOps pipelines for Sensodyne product that reduced model deployment time by 40%. - Drove cultural transformation initiatives through participation in site leadership forums for the newly launched Bangalore GCC center. - Represented GSK's data innovation team as a speaker at internal and external technical events, showcasing our expertise in data innovation.

Principal Engineer at GSK, Nov 2020 - Jul 2022 · 1 yr 9 mos, Bangalore Urban, Karnataka, India, - Established best practices for data capture, contextualization, and analytics, resulting in a 25% uplift in data accuracy. - Architected and rolled out self-service data flow automation, cutting analytics turnaround time by 40%. - Designed data mesh architecture for Post Event Analytics product to improve serving 500+ stakeholders, reducing data processing times by 30%. - Implemented enterprise data governance framework using Databricks, Azure enforcing quality & compliance, replicated across multiple global teams. - Oversaw a multidisciplinary team (15 direct ML/Data Engineers, 30 vendor architects/data engineers), achieving a 90% employee retention rate by shaping a collaborative culture and streamlined HR processes. - Build end-to-end MLOps pipelines for Sensodyne product that reduced model deployment time by 40%. - Drove cultural transformation initiatives through participation in site leadership forums for the newly launched Bangalore GCC center. - Represented GSK's data innovation team as a speaker at internal and external technical events, showcasing our expertise in data innovation.

Education

Master of Technology - MTech, Artificial Intelligence, Indian Institute of Information Technology Kottayam

Bachelor of Technology (B.Tech.), Electronics & Communications, Dr. A.P.J. Abdul Kalam Technical University