Ashwin Mishra
AI/ML developer · New Delhi, India

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 · retrieval-augmented generation · educational & Indic NLP · document intelligence & OCR · generative image pipelines

4 AI/ML internships · 9.24 SGPA, 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

Innocean India · 2026 · FastAPI, Next.js, Groq, Supabase, Tavily, SerpAPI

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

[Code] [Demo] [Case study]

AdINNtelligence

Innocean India · 2026 · FastAPI, React, Groq, Supabase, Redis, Meta Ad Library

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.

[Code] [Case study]

Creative Intelligence Engine (Hyundai) (private)

Innocean India · 2026 · Next.js 15, Express 5, TypeScript, BullMQ, Prisma, Claude, fal.ai, AWS

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.

Kajaria Tile Visualizer (private)

Innocean India · 2026 · Flask, React, Vite, Claude, fal.ai

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.

IIT Kanpur

ES-RAG Grievance Retrieval System

CDIS, IIT Kanpur · 2025 · Elasticsearch, Sentence Transformers, RAG, LLMs, Python

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%.

[Code] [Case study]

Evidence Analysis

CDIS, IIT Kanpur · Kanpur Smart City · 2026 · Python, FastAPI, React, OCR, Image processing

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.

[Code] [Case study]

Radar Drone Classification (private)

IIT Kanpur · 2024–25 · Python, SciPy, YOLO, Radar RCS

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

[Case study]

Independent

Law Simplified

2026 · OCR, Transformers, RAG, Streamlit

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%.

[Code] [Case study]

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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