ashwin mishra | ai/ml developer
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Ashwin Mishra

Hi, I'm Ashwin Mishra

I build LLM agents, RAG pipelines and computer vision systems that ship: grievance platforms for government portals, AI study tools for UPSC aspirants, legal-document intelligence, and agentic MarTech tools for brands like Hyundai and Kajaria. Feel free to reach out :)

// currently into: agentic & multi-agent systems Β· retrieval-augmented generation Β· educational & Indic NLP Β· document intelligence & OCR Β· generative image pipelines

4AI/ML internships
9.24SGPA, B.Tech AI & ML
60%less manual grievance review
45%faster case resolution
96.6%radar drone classification

## Projects

/* Innocean India: INN agents & brand AI */

ScoutINNtelligence πŸ”—

// Innocean India Β· 2026

Dual-intelligence lead generation. Supply Scan ranks startups by fit; Demand Scan qualifies buyers with a 3-filter check (MarTech need, buying capacity, actionability).

  • FastAPI
  • Next.js
  • Groq
  • Supabase
  • Tavily
  • SerpAPI

AdINNtelligence πŸ”—

// Innocean India Β· 2026

Agentic competitive-ad intelligence for Hyundai's automotive marketing teams across 40+ brands. Collects competitor Meta ads, classifies models, offers and patterns with LLMs, and returns three evidence-backed recommendations for a dealer's next campaign.

  • FastAPI
  • React
  • Groq
  • Supabase
  • Redis
  • Meta Ad Library

Creative Intelligence Engine (Hyundai) private

// Innocean India Β· 2026

AI-generated, brand-safe ad creatives for Hyundai, built at Innocean India. Separate dashboards for admins, brand teams and dealers; campaign jobs queued on BullMQ.

  • Next.js 15
  • Express 5
  • TypeScript
  • BullMQ
  • Prisma
  • Claude
  • fal.ai
  • AWS

Kajaria Tile Visualizer private

// Innocean India Β· 2026

Full-stack tile visualization for Kajaria: upload a room photo, detect the floor, and overlay any of 60+ tiles. An auto-visualize mode uses AI room analysis to recommend tiles, with a custom tile upload, lead capture and a CRM drawer.

  • Flask
  • React
  • Vite
  • Claude
  • fal.ai

/* IIT Kanpur */

ES-RAG Grievance Retrieval System πŸ”—

// CDIS, IIT Kanpur Β· 2025

Plain-English search over a government grievance portal: an LLM turns the query into Elasticsearch DSL, a semantic cache skips repeat work, and hybrid keyword + vector retrieval feeds a RAG answer. Cut manual filtering and search time by ~50%.

  • Elasticsearch
  • Sentence Transformers
  • RAG
  • LLMs
  • Python

Evidence Analysis πŸ”—

// CDIS, IIT Kanpur Β· Kanpur Smart City Β· 2026

Evidence-image validation for Kanpur Smart City. Multi-factor scoring (variance, edge density, entropy, OCR layout) plus a voting pipeline flags documents that were uploaded where a site photo was expected.

  • Python
  • FastAPI
  • React
  • OCR
  • Image processing

Radar Drone Classification private

// IIT Kanpur Β· 2024–25

Classifies drone type from multi-frequency (26–40 GHz) radar cross-section measurements interpolated with cubic splines across phi–theta angles. 96.6% accuracy.

  • Python
  • SciPy
  • YOLO
  • Radar RCS

/* Independent */

Law Simplified πŸ”—

// 2026

Legal document intelligence: multilingual OCR, clause and entity extraction, schema-driven summaries, and RAG chat grounded in the uploaded document. Improved case-review efficiency by 60%.

  • OCR
  • Transformers
  • RAG
  • Streamlit

## Explore more

[Resume (PDF)] [Case studies] [GitHub] [LinkedIn]

Open to AI/ML roles, research collaborations and interesting problems. Email me at ashwin.mishra07@gmail.com.

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