Name: Harsh Vardhan Tripathi
Location: India 🇮🇳
Education: B.Tech (IT) — Gautam Buddha University (8.7 / 10)
Current Focus: Building production-grade GenAI apps & AI agents
Open To: SDE · AI/ML · Product-Tech · Data Engineering
Philosophy: "Ship fast · learn faster · never stop building"| 🔤 Languages | |
| ⚛️ Frontend | |
| 🔧 Backend | |
| 🤖 AI / GenAI | |
| 📊 Data | |
| 🛠️ DevTools |
🤖 Podcastr — AI SaaS Podcast Platform Live ↗
Tech:
Next.js 14TypeScriptConvexOpenAI TTSDALL-E 3ClerkTailwind CSSShadcn UI
- Engineered AI-driven SaaS enabling text-to-podcast generation with 6 voice models via OpenAI TTS API
- Integrated DALL-E 3 for dynamic thumbnail generation from natural language prompts
- Implemented Clerk-based authentication with secure session management and protected API routes
- Built a fixed-position audio player with seek, volume, mute — persists across page navigation
- Designed a real-time discovery engine with search, filtering by voice type, and trending surfacing
- Deployed on Convex for real-time backend with automatic data sync and serverless functions
🧠 BrainMate AI — Mental Health Conversational Agent
Tech:
PythonFastAPIStreamlitLangChainLangGraph
- Built a multi-turn AI conversational system using LangChain with structured evaluation of response quality
- Architected a state-graph workflow with LangGraph for managing conversation context and therapeutic patterns
- Developed real-time data processing pipelines to monitor system performance, response latency, and session metrics
- Implemented response quality metrics for reliability tracking and workflow efficiency benchmarking
📄 ResearchMate AI — Autonomous Research Paper Synthesizer
Tech:
PythonarXiv APIPyPDF2Streamlit
- Designed an autonomous AI agent that browses, reads, and synthesizes papers into publication-ready output
- Implemented keyword-based ranking and semantic filtering achieving ~90% retrieval accuracy
- Built PDF extraction pipelines using PyPDF2 for processing large volumes of research documents at scale
- Automated end-to-end summarization workflows, reducing manual research effort by ~80%
🎈 VisualTalk Junior — Child AI Voice Companion Live ↗
Tech:
ReactGroq (Llama 3.3 70B)Web Speech APITailwind CSSFramer Motion
- Built a real-time voice interaction system using Web Speech API for ultra-low latency speech recognition
- Integrated Groq LPU inference (Llama 3.3 70B) for sub-second AI responses faster than human reactivity
- Implemented pedagogical scaffolding — Hook → Contextualization → Prompt → Gentle Correction
- Designed a lexile-appropriate AI persona with 5-7 word sentence constraints for age 3-5 interaction
🚀 TaskOrbit — Kanban Task Board Live ↗
Tech:
React 19Vite@dnd-kitContext APIVitest
- Engineered a 3-column Kanban board with full CRUD, drag-and-drop (via @dnd-kit), and localStorage persistence
- Built a real-time search dropdown with matching results, color-coded status dots, and priority badges
- Implemented centralized state management via Context API with memoized derived state
- Added an Error Boundary with automatic recovery UI and storage cleanup
- 12 passing tests using Vitest + React Testing Library covering auth, CRUD, and rendering
💬 Playto Community Feed — Scalable Social Feed Engine Live ↗
Tech:
Django REST FrameworkReactPostgreSQLDocker
- Solved the N+1 query problem for nested comments using O(1) in-memory adjacency-list tree reconstruction
- Implemented a 24-hour rolling karma leaderboard using split-and-merge aggregate queries
- Built polymorphic voting via GenericForeignKey with idempotent API and
unique_togetherconstraints - Designed a recursive React UI handling unlimited comment nesting without performance degradation
⚡ EnergyGrid — IoT Data Aggregator with Rate-Limit Handling
Tech:
Node.jsREST APIBatch Processing
- Built a Node.js client aggregating data from 500 IoT devices against a rate-limited API (1 req/sec)
- Implemented intelligent batching (groups of 10) reducing total API calls from 500 → 50
- Designed exponential backoff retry logic for automatic recovery from 429 responses
- Serial processing with deliberate delays to respect API limits while maintaining data integrity
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Programming Using Java — Infosys Springboard |
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Introduction to Cybersecurity — Infosys Springboard |
🧠 Deep-diving into Generative AI — building agents, RAG pipelines & real-time AI apps
⚡ Shipping production-ready projects every month that solve real problems
🎯 Open to SDE · AI/ML · Product-Tech · Data Engineering roles
📬 Let's connect → hvtcodes@yahoo.com | linkedin.com/in/hvtdpt