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Saravana Perumal R.

Saravana Perumal R.

AI Engineer • Data Scientist • Generative AI Specialist • AI Educator

A biologist turned AI engineer with 5+ years of experience spanning scientific research, machine learning, and generative AI. I build intelligent systems with the precision of a researcher and the curiosity of a scientist — mentoring 100+ students while pushing the frontier of agentic AI.

5+
Years Research
18
AI Projects Built
100+
Students Mentored
UGC NET
Qualified

From Biotechnology to Agentic AI

My story is one of radical transformation driven by a singular obsession: understanding deep patterns. It began in the life sciences: botany and biotechnology at the University of Kerala, biotechnology and bioinformatics at KUFOS, stem cell research at IISER Thiruvananthapuram, fish vaccine work at ICAR-CIBA, and over four years as a Senior Research Fellow at SCTIMST working on 3D bioprinted skin, hydrogels, and nanomaterials. In that world, 'data' wasn't just numbers—it was the lifeblood of discovery, requiring a level of discipline and analytical rigor that would later become my greatest asset in engineering.

In 2023, I made the calculated pivot from biological systems to digital intelligence through a Diploma in Data Science and an internship at Edure. I realized that the same scientific mindset used to decode cellular behavior could be applied to architecting artificial neurons. I then spent just over two years as a Jr. Data Scientist and Data Scientist at Dexpro Innovations, rapidly advancing from classical machine learning to the cutting edge of Large Language Models and Agentic architectures.

Today, as a Gen AI Engineer at Blackbox Learning, I occupy the intersection of these two worlds. I build intelligent RAG pipelines and multimodal agents with the precision of a researcher and the agility of a software engineer. My mission isn't just to build 'smart' apps, but to design agentic systems that exhibit genuine reasoning and utility.

Beyond the code, I am a mentor at heart. Having guided over 100+ students, I believe that the future of AI belongs to those who pair technical mastery with a deep understanding of the human and scientific context. I don't just teach models; I teach the philosophy of building responsible, high-performance intelligence.

Scientific Rigor Meets AI Engineering

Experimental Design Mindset
I treat ML problems like research experiments — hypothesis, validation, iteration.
Statistical Thinking
Deep statistical intuition from years of research data analysis and publication.
Scientific Rigor in AI Systems
Every model is validated, every claim evidenced — no cargo-cult ML.
Simplifying Complexity
I translate advanced AI concepts into actionable insights for students and stakeholders.

Building Skilled Professionals & Responsible Humans

I design and deliver AI curriculum covering ML, Deep Learning, and Generative AI — guiding 100+ students through placement mentorship and hands-on project work. My philosophy: technical excellence paired with critical, ethical thinking.