Hi, I'm Shiva 👋Final Year
Build with research-grade rigor. Ship with engineering speed.
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Projects
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Research Publication
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CGPA
Top 0 Rank
Batch Standing
Peer-Reviewed Research
ICT4SD 2025 · Clinical Readiness Score (CRS) framework with AHP-weighted decision modeling
1@app.post('/api/memory/query')2async def query_memory(req: QueryRequest):3intent = await classify_intent(req.message)4chunks = await pgvector_search(req.user_id, intent)5return LangGraphAgent().synthesize(chunks)6# RAG + LangGraph · LifeMemory AI
CGPA
9.2
Building
LifeMemory AI
About Me
I publish peer-reviewed ML research and ship full-stack systems that people actually use.
I'm a final-year B.Tech Computer Science (Data Science) student at VIT Chennai, where research and engineering meet on my keyboard every day. My work sits at the intersection of machine learning research, full-stack engineering, and cloud-native systems — I publish papers and ship production code.
I authored a Springer peer-reviewed paper on AI-driven lung cancer prognosis (ICT4SD 2025), designing the Clinical Readiness Score (CRS) — a multi-criteria evaluation framework using the Analytic Hierarchy Process (AHP).
Outside research, I architect AI-powered systems like LifeMemory AI (RAG + LangGraph + pgvector) and cloud-native platforms on AWS. I lead operations as Financial Lead at ACM-W VIT, having run 4 hackathons for 250–300+ participants each.
Currently Building
LifeMemory AI — privacy-first journal with LangGraph reasoning
Open To
Skills
From frontend polish to distributed backends and clinical ML pipelines.
Featured Projects
Four projects spanning AI-powered platforms, cloud-native systems, and production backend architecture.
AI-Powered Personal Memory System
A privacy-first journaling platform that uses RAG and LangGraph multi-step reasoning to help users explore their memories through evidence-grounded AI conversations.
Social AI-Powered Book Platform
A full-stack social reading platform with hybrid AI recommendations, real-time book chat, and a dynamic catalog powered entirely by the Open Library API.
Cloud-Native Collaborative Coding Platform
A 3-tier AWS real-time pair-programming platform with live video conferencing, collaborative code editing, and multi-language code execution.
Production URL Shortener
A system-design-grade URL shortener with PostgreSQL persistence, Redis cache-aside on the redirect hot path, and Kafka-powered async click analytics.
Research
Clinical ML evaluation with a novel multi-criteria framework.
ICT4SD 2025 · Springer
Shiva Jyoti, Samriddhi Ganguly, B. Sri Soumya, S. Nachiyappan
Lecture Notes in Networks and Systems, vol. 1652 · Springer, Cham · October 31, 2025
Introduces the Clinical Readiness Score (CRS) — a structured, multi-criteria evaluation metric for AI models in lung cancer diagnosis. CRS combines interpretability, efficiency, clinical validation, and accuracy, with weights assigned via the Analytic Hierarchy Process (AHP) and validated for consistency.
Innovation
Clinical Readiness Score (CRS) framework with AHP-weighted decision modeling
Models
CNN, RNN, Random Forest, SVM
Datasets
LIDC-IDRI, TCGA
Metrics
AUC, F1-Score, Sensitivity, Specificity
Methodology
Achievements
Research, hackathons, open source, and academic excellence.
Peer-reviewed paper at ICT4SD 2025 on AI-based lung cancer prognosis with the CRS framework.
Academic excellence at VIT Chennai, B.Tech Computer Science (Data Science).
Winner at GLITCHCON — VIT Chennai campus hackathon.
Participant — analyzed ~4.8M Aadhaar records; designed Service Stress Ratio metric and policy framework.
Contributing to AI-dev-assistant — AI-powered code analysis for 5+ languages.
Recognized for meaningful open-source contributions across multiple repositories.
Organized large-scale hackathons with 250–300+ participants each as ACM-W Financial Lead.
Experience
Leading communities at scale while publishing clinical ML research.
ACM-W, VIT Chennai
Springer Conference Publication
2023 – Present
B.Tech, Computer Science (Data Science)
CGPA 9.2
2022
CBSE — Class XII
96.2%
2020
ICSE — Class X
95.6%
Resume
Full-stack engineering, ML research, cloud systems, and leadership — formatted for recruiters and hiring managers.
Contact
Open to internships, research collaborations, and interesting engineering challenges.