I'm Ram Charan Teja N L — a Computer Science undergraduate at Vemu Institute of Technology, building intelligent solutions across explainable AI, neuro-symbolic systems, and privacy in neural networks through research internships at NIT Jaipur and IEEE CIS.
I build intelligent, explainable, privacy-first AI.
Building AI that
91%
privacy-preserving
respects
32%
explainable
and
delivers real
impact
Explore my areas of expertise
Software Engineering
Developing ML pipelines for credit risk prediction, resume ranking, and AI-powered recruitment — proven at IIT Guwahati and 2nd place at e-Yantra 2024-25.
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Featured Projects
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Structured Knowledge Transfer
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Optimized Performance
Explainable AI
Building neuro-symbolic systems at IEEE CIS Kolkata — combining shallow neural networks with IF-THEN rules for interpretable medical diagnosis, using SHAP and evolutionary algorithms.
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Predictive Models
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Intelligent Automation
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AI-Powered Solutions
Full-Stack Development
Building full-stack applications from concept to deployment — StudentSmart campus networking platform, ML-powered tools, and scalable web architectures using React, Node.js, and MongoDB.
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End-to-End System Design
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Scalable Architecture
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Strategic team enablement & mentoring
Neuro-Symbolic AI
Building StudentSmart as Tech Lead — a full-stack campus networking platform architected end-to-end from system design to deployment, currently in pre-launch phase.
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Knowledge Representation
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Pipelines ETL
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Data Modeling
Privacy in ML
Investigating privacy vulnerabilities in Spiking Neural Networks via Membership Inference Attacks — achieving 70% attack accuracy on unsecured SNNs at NIT Jaipur.
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Privacy-Preserving Architectures
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Membership Inference Attacks
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Differential Privacy Techniques
AI Research
Guiding every project with research rigor, reproducibility, and a clear path to impact.
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Research Methodology
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Peer-Reviewed Publications
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Data-Driven Insights
"Research rigor meets real-world impact — every project built to be transparent, private, and deployable."
— Research Philosophy
"70% attack accuracy on unsecured SNNs — quantifying real privacy risks in neuromorphic AI at NIT Jaipur."
— SNN Privacy Research
"StudentSmart — architected end-to-end as Tech Lead, from system design to deployment, currently in pre-launch."
— StudentSmart Platform
"A truly supportive environment where I could grow and reach my full potential."
— e-Yantra · IIT Bombay
"Neuro-Symbolic AI for medical diagnosis at IEEE CIS — combining shallow neural networks with IF-THEN rules and SHAP for transparent clinical decisions."
— Neuro-Symbolic AI · IEEE CIS
About me
With rigorous research across NIT Jaipur, IEEE CIS, and IIT Bombay, I build AI systems that are transparent, private, and impactful.
A selection of my research projects and work across AI, ML, and software engineering.
My approach, from research to production.
From research framing to model architecture to deployment — end-to-end ownership.
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Understand the problem
Read the literature, identify gaps, and frame the problem with precision before writing a single line of code.
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Design the solution
Define objectives, architect the model, and plan evaluation with scientific rigor.
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Ship with impact
Implement, evaluate, and deploy — translating research into production-ready systems.
Research-backed engineering — from prototype to production.
A complete portfolio spanning privacy-preserving ML, neuro-symbolic AI, explainable models, and full-stack engineering.
