Gopala Josyula Siva Satya Sai Bhagavan · Andhra Pradesh, India ·
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AI Career Intelligence Platform
Turns a resume and a GitHub profile into a single reasoning layer — ATS scoring, GitHub signal analysis, market intelligence, and an AI-generated roadmap, all served through a decoupled Flask/FastAPI backend with live Gemini synthesis.
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Personal Intelligence Operating System
A memory layer for AI that doesn't forget — Django + FastAPI microservices with Pinecone as persistent vector memory, RAG retrieval, and conversational reasoning built on top.
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Explainable Intelligence Platform
Fact-checking without a black-box LLM crutch — claim extraction, live evidence retrieval, credibility scoring, and bias detection on a pure NLP/ML pipeline.
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Luxury Electric Vehicle Experience
A production-grade automotive showcase — cinematic scroll storytelling, interactive vehicle exploration, and Apple-level motion polish.
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↳ Expand for case-study depth on each system
CareerOS — Problem: career signal is scattered across resumes, GitHub, and job boards with no reasoning layer over it. Approach: live GitHub API ingestion → resume/ATS parsing → Gemini-driven roadmap synthesis. Modules: Resume Intelligence · ATS Analyzer · GitHub Analyzer · Market Intelligence · Roadmap Generator.
AuraOS — Problem: most AI assistants lose all continuity between sessions. Approach: Pinecone-backed vector memory with RAG retrieval feeding a conversational reasoning engine. Modules: Persistent Memory · RAG Retrieval · Reasoning Engine.
VERITAS — Problem: LLM-based fact-checkers can't explain why something is credible. Approach: zero-LLM NLP pipeline — spaCy + Transformers + scikit-learn for extraction, retrieval, scoring, and bias detection. Modules: Claim Extraction · Evidence Retrieval · Credibility Scoring · Bias Detection.
VoltDrive — Problem: automotive showcases rarely match the polish of the product they sell. Approach: scroll-driven cinematic motion built on Framer Motion with a reusable interaction library. Modules: Vehicle Explorer · Scroll Narrative Engine · Motion Design Library.
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"Systems, not screens. Every product here is built to reason, remember, and explain itself — not just render UI." Final-year AI & Data Science engineer building TheNameIsBhagavan — a long-term engineering ecosystem spanning AI infrastructure, full-stack products, and technical writing. Four systems anchor it today, each a deliberate exercise in a different hard problem: retrieval, reasoning, trust, and motion. |
graph LR
A[CareerOS<br/>Career Signal Engine] -->|Structured Career Data| M((Shared Intelligence<br/>& Memory Layer))
C[VERITAS<br/>Trust & Credibility] -->|Evidence Scoring| M
D[VoltDrive<br/>Motion Design System] -->|UI Primitives| S[Design System]
M -->|RAG + Reasoning| F[Unified AI Layer]
S -->|Shared Components| A
S -->|Shared Components| C
F -->|Powers| A
F -->|Powers| C
style A fill:#0A0A0A,stroke:#8A8A8A,color:#E8E8E8
style C fill:#0A0A0A,stroke:#8A8A8A,color:#E8E8E8
style D fill:#0A0A0A,stroke:#8A8A8A,color:#E8E8E8
style M fill:#1A1A1A,stroke:#E8E8E8,color:#E8E8E8
style S fill:#1A1A1A,stroke:#8A8A8A,color:#E8E8E8
style F fill:#0A0A0A,stroke:#E8E8E8,color:#E8E8E8
| Frontend | React · Vite · Framer Motion · React Router |
| Backend | Python (FastAPI, Flask) · Node.js (Express) · MongoDB |
| AI / ML | Deep Learning · Agentic AI · RAG · Reasoning Systems · NLP · Memory Systems |
| Deployment | Vercel · GitHub Actions · Cloudflare · Hostinger |
Python ████████████████████░░ 90%
React / JavaScript ██████████████████░░░░ 85%
FastAPI / Flask █████████████████░░░░░ 82%
Deep Learning / NLP ████████████████░░░░░░ 78%
System Design ███████████████░░░░░░░ 74%
DevOps / Cloud █████████████░░░░░░░░░ 65%
timeline
title Engineering Timeline
2023 : Started AI & Data Science @ RCE JNTUK
: Learned Python & deep learning fundamentals
2024 : Shipped first full-stack applications
: Explored RAG and vector databases
2025 : Built CareerOS, AuraOS, VERITAS, VoltDrive
: Took on freelance AI systems work
2026 : Graduating JNTUK
: Scaling TheNameIsBhagavan full time
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B.Tech, Artificial Intelligence & Data Science Ramachandra College of Engineering (JNTUK) · 2022 – 2026 Coursework — Machine Learning · Deep Learning · Data Structures & Algorithms · Distributed Systems · NLP |
- 🔧 Contributing fixes and features to AI tooling libraries in the RAG / vector-search space
- 📚 Reviewing PRs and mentoring on full-stack + AI project architecture
- 🗣️ Publishing build breakdowns on the Engineering Journal
- 🌱 Issue triage on open-source LLM orchestration frameworks
| 🌍 Based in | Andhra Pradesh, India |
| 🧭 Focus | AI systems that reason & remember |
| 🎯 2026 goal | Ship TheNameIsBhagavan as a full product suite |
$ whoami
Gopala Josyula Siva Satya Sai Bhagavan — AI Systems Engineer
$ status
Open to collaborations & AI systems work
$ reach
linkedin.com/in/bhagavan · hello@thenameisbhagavan.in · thenameisbhagavan.in
Currently building the Engineering Journal — architecture write-ups on CareerOS, AuraOS, VERITAS & VoltDrive. Follow along at thenameisbhagavan.in