GITAM University/CSE/4th Year/Vizag
Security researcher and AI developer building cloud security tools, LLM systems, and production-ready web applications. I focus on clear evidence, usable interfaces, and reliable engineering.
Technical writing, project reports, and evidence-backed security analysis
Ranked globally on the Wiz cloud security championship leaderboard, demonstrating deep expertise in securing cloud infrastructure. View Leaderboard ↗
Demonstrated expertise in designing and deploying scalable, secure cloud architectures on Oracle Cloud Infrastructure, covering compute, storage, networking, and IAM.
Validated knowledge of cybersecurity fundamentals, threat landscapes, and network security concepts through Fortinet's official certification program.
Completed the Wiz BigIAM Challenge — a cloud identity and access management CTF covering privilege escalation, misconfigured IAM policies, and least-privilege hardening. Verify ↗
A quiet note for the work: less fear, less old weight, more presence.
"To be happy you must eliminate two things: the fear of a bad future and the memory of a bad past."
A focused research environment for identity attack paths, graph evidence, tamper-evident logs, deterministic replay, and clean operator-facing signals.
Simulation engine grounded in entropy physics, Bayesian inference, and information theory to model how knowledge evolves, spreads, and decays over time.
Unified Wireshark, Nmap, RustScan, Naabu, and Masscan into a 6-phase automated pipeline wide-area discovery at 10K pps through deep OS/service fingerprinting.
Qualifier and pitch project for a context-aware AI agent workflow focused on multimodal orchestration, retrieval, scoring, and practical human-in-the-loop checks.
AI-powered legal document analyzer — parses ToS, Privacy Policies, EULAs and surfaces risk scores via Claude API.
Physics-Inspired Relational Intelligence Architecture: an MVP runtime for persistent cognitive graphs, immutable event logs, and attention-bounded traversal.
AI-native decision engine for mothers and caregivers, combining empathetic intent handling with grounded retrieval and structured recommendations.
12-layer self-evolving cognitive organism that models itself, benchmarks itself, and rewrites itself — pushing toward genuine artificial life.
Advanced geospatial data fusion and multi-modal analysis platform for location intelligence, terrain modeling, and spatial reasoning.
Computational Space Theory of Intelligence — an 8-layer cognitive engine exploring how meaning emerges from coherent reasoning and representational dimensions.
Worked on advanced AI systems involving multimodal orchestration, Retrieval-Augmented Generation (RAG), and MCP-based intelligent workflows. Contributing to cognitive simulation research and development of context-aware AI agent architectures using modern LLM technologies.
Focused on network security and vulnerability assessment to support organizational cybersecurity. Monitored security systems, analyzed threats, and assisted with incident response.
Active across vulnerability research, reverse engineering practice, IAM challenge environments, and security tooling, with a bias toward clear evidence and reproducible findings.
Convert cloud activity streams into ranked identity-path evidence: who touched what, which privilege changed, and how the chain can be replayed for review.
Design LLM workflows that explain why something is risky, attach severity, preserve source context, and stay useful to non-specialists under time pressure.
Shape complex backend intelligence into calm, inspectable interfaces with clear states, strong defaults, and direct paths from finding to action.
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One MetaMask address works across Ethereum, Base, Linea, Polygon and BNB Chain. Gas fees go to the network.
I can help investigate attack surfaces, model abuse paths, build proof-of-concept detection logic, and document findings in a way engineers can reproduce.
I am strongest where AI needs structure: retrieval, evaluation, scoring, agent tooling, prompt systems, and interfaces that make model output accountable.
I move quickly across frontend, backend, and integration work while keeping the experience legible, accessible, and useful for repeated professional workflows.
Looking for teams that value curiosity, evidence, hands-on building, and the discipline to turn hard technical ideas into tools that survive real use.
Hire MeDisciplines
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Qualifier at Milan 2026. Built and pitched our context-aware AI agent idea to a panel of expert judges and investors, demonstrating multimodal orchestration and intelligence.
Hackathon Pitch QualifierCleared regional rounds and led team through regional selection to compete at the national stage of Smart India Hackathon 2024. Handled full solution design and team leadership.
National Level QualifierParticipated in the IAM Challenge and Cloud Hunting Games — Cloud Hunting Games certificate is showcased in Certifications.
IAM Challenge & Cloud HuntingActively identifying and responsibly disclosing security vulnerabilities in live production systems across public and private programs on HackerOne and Intigriti.
Ongoing · HackerOne · IntigritiBinary analysis and reverse engineering study to identify vulnerabilities and dissect techniques for CTFs, defensive research, and secure software development.
Ongoing · Security Research
Full list → LinkedIn Certifications ↗
Core Domains
A compact professional timeline covering education, security research, AI builds, certifications, and project milestones.
Computer Science foundation with a focus on AI, cloud platforms, and security.
GCP IAM research using temporal identity graphs and evidence replay.
Finalist & pitch presentation at AI Milan Hackathon — delivered a multimodal agent demo and technical roadmap focused on RAG and real-world orchestration.
Working on advanced AI systems, cognitive simulation, and context-aware LLM agent architectures.
A rotating showcase of projects, certifications, and hackathon moments.
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Project Gallery
A visual overview of projects, certifications, and research artefacts — hover to explore.
