AJ Aditya Jethani
AI/ML Engineer
Published patent · Multimodal healthcare AI

I ship intelligent
systems to production.

I am Aditya Jethani, an AI/ML engineer with 1.5+ years turning ambiguous problems into deployed RAG, agentic, computer-vision and backend systems across legal-tech, healthcare and e-commerce. I optimise until latency, accuracy and robustness targets are actually met.

View work Resume
epoch by epoch
Aditya Jethani, AI/ML Engineer, portrait
Surat, India · PDEU '25
CGPA 9.44 / 10 · GATE CS 95.61%ile
Patentmultimodal healthcare AI · published
9×RAG inference speedup
139.6 tok/ssustained generation
360Kdocs in agentic RAG
94.2%tongue-CV accuracy
0.99token-F1, doc parsing
2071LeetCode Knight rating
Patentmultimodal healthcare AI · published
9×RAG inference speedup
139.6 tok/ssustained generation
360Kdocs in agentic RAG
94.2%tongue-CV accuracy
0.99token-F1, doc parsing
2071LeetCode Knight rating
About

I build the unglamorous parts that make AI products work in the real world: batched GPU inference, retrieval that stays faithful, evaluation that catches failures before users do.

0
years in production AI
0
shipped projects
0
B.Tech CGPA / 10
0
merged OSS PRs

I am a Computer Engineering graduate from Pandit Deendayal Energy University (CGPA 9.44/10), now an AI/ML Engineer at Logicwind. My approach is iterative and measurement-first: break a vague brief into experiments, automate the evaluation, and keep going epoch by epoch until the numbers hold.

I work end to end, from data pipelines and model fine-tuning (QLoRA) to FastAPI services, agent orchestration and the dashboards that prove a system is behaving. I care most about why systems fail, and I build the tooling to find out.

  • [ rag ]

    Retrieval & Agentic Systems

    Faithful RAG, chunking and embedding evaluation, multi-agent orchestration with observability.

  • [ cv ]

    Computer Vision

    Medical imaging diagnostics, OCR pipelines, detection and tamper analysis.

  • [ infra ]

    ML Systems & Delivery

    GPU-batched inference, FP16 quantization, FastAPI/Go services, cloud deployment.

Experience

Where I have shipped.

Three roles across three companies, each ending in something deployed or measured.

Jun 2025 — Present
Surat, India
Full-time

Machine Learning Engineer · Logicwind

  • Shipped production multi-agent systems that answer questions over live enterprise data (ERP, Tally, CRM, HR) by planning tool and SQL calls from deep schema grounding, across the OpenAI Agents SDK, Google ADK, Mastra AI and Vercel AI SDK, cutting client delivery time 70% and reaching 90% response satisfaction.
  • Built a governed internal AI platform (per-user MCP OAuth isolation, budgeted virtual keys, cost attribution) that caught and fixed a catastrophic cross-user data leak, replacing shadow AI with one auditable, cost-capped entry point.
  • Architected an agentic RAG platform over 360K multilingual documents (45% scanned, Surya OCR), reaching 4.3× throughput via async batching and Qwen3 embeddings; benchmarked 16+ chunking strategies and 6+ embedding models.
  • Engineered an agentic NL-to-SQL voice interface that returns governed SQL plus auto-generated chart dashboards in under 2s for non-technical stakeholders.
  • Drove applied research on deterministic document parsing (CER 0.0135, token-F1 0.99) and a multimodal image-evaluation framework pairing FID and CLIP-score with a custom relevance pipeline.
OpenAI Agents SDKGoogle ADKMCPLangFuseRAGFastAPIDocker
Jan 2025 — Jun 2025
Surat, India
Internship

Software Engineering Intern · Yanolja Cloud Solutions

  • Architected an image-to-image translation system for multilingual e-commerce that lifted accuracy 50% over the CycleGAN baseline while preserving native typography and layout.
  • Built an automated code-review system (privately hosted on Google Cloud for GitHub PRs) that mined commit histories and PR diffs, mitigating 27% of recurring security vulnerabilities through RAG-based pattern detection.
  • Engineered Go + Python + FFmpeg computer-vision pipelines for large image datasets, reducing average processing time 1.3×.
GoPythonFFmpegLangChainRAGGCP
Mar 2024 — Oct 2024
Delhi, India
Internship

AI/ML Intern · CybraneX

  • Engineered a high-throughput RAG inference pipeline for QLoRA fine-tuned LLMs, achieving a 9× speedup (latency 110s → 12.2s, 139.6 tokens/sec sustained) via GPU-batched inference, FP16 quantization, KV-cache and FlashAttention-2.
  • Built a clinical tongue-analysis computer-vision system (ResNet18 + custom coating model, OpenCV, Fourier and Gabor analysis) reaching 94.2% color and 91.7% coating accuracy, served via a REST API for clinical workflows.
  • Delivered an enterprise document-extraction product deployed on Azure, combining Cloud Vision OCR, tamper detection and LLM classification across 14+ document types with a CI/CD pipeline.
  • Engineered an AI telemarketing system processing 50,000+ daily calls with custom LLMs at 89% accuracy in legitimate-lead identification under sub-200ms latency.
  • Built a real-time analytics dashboard blending purchase history and geolocation signals, raising a client's inventory turnover 22%.
PyTorchQLoRAvLLMOpenCVAzureCI/CD
Timeline

The journey, newest first.

A running log of milestones, wins and what I have been up to lately.

  1. Jul 2026

    First patent published

    AI-Powered Multimodal Healthcare System for Elderly Care (Indian Patent App. No. 202521086225), as first inventor. Read more →

  2. 2026

    2nd place · Claude Impact Lab 2026, Mumbai

    Built Setu, an offline-first, voice-first reunification platform for the Kumbh Mela, over the hackathon. See it ↗

  3. 2026

    Top 100 · Meta PyTorch (OpenEnv) Hackathon, Bengaluru

    Built adversarial trust-and-safety tooling with GRPO training on Meta's OpenEnv.

  4. 2025–26

    Winner · internal hackathon at Logicwind

    First place in a company-wide build sprint.

  5. 2026

    GATE CS 2026 · 95.61 percentile

  6. 2025

    Top 105 · Google Solution Challenge 2025

    Among 4,000+ international teams worldwide.

  7. 2025

    Top 10 · ByteVerse 2025, IIT Patna

  8. 2025

    B.Tech, Pandit Deendayal Energy University

    Computer Engineering, CGPA 9.44/10.

Selected work

Things I built, with the numbers.

A curated set spanning agents, multimodal CV, RAG and scientific ML. Every figure below is from the real project.

PRJ-01 TSllama-3.3-70b · groq

TalentScout AI ↗

Production candidate-screening assistant: parses resumes, generates role-specific questions and scores answers with running confidence.

85% validation accuracy-60% hiring time
Python · LangChain · LangGraph · Llama 3.3 70B · Streamlit
Prompt Detective app screenshot PRJ-02

Prompt Detective ↗

Multimodal pipeline that reverse-engineers the prompt behind an AI-generated image or video using CV signal extraction and semantic retrieval.

85% Top-K accuracy<5s / 1-min video
OpenCV · CLIP · Sentence-Transformers · pgvector
Grade Flow app screenshot PRJ-03

Grade Flow ↗

RAG teacher's assistant that automates grading with plagiarism detection, auto question-paper generation and a timed test environment.

90% workflow automated-75% eval time
FastAPI · LangGraph · pgvector · FAISS · Gemma-2
PRJ-04 CVresnet18 · coatingnet

Tongue Analysis AI ↗

Clinical computer-vision system for traditional-medicine diagnostics: coating, color and crack analysis over 2,524 images, replacing subjective scoring.

94.2% color acc.91.7% coating acc.
PyTorch · OpenCV · scikit-image · Flask
Scrollwise app screenshot PRJ-05

Scrollwise ↗

Full-stack digital-wellbeing app and Chrome extension that turns scroll, click and focus events into real-world analogies with AI insights.

<500ms insight latencyMV3 extension
Next.js · Express · TypeScript · MongoDB · Groq
PRJ-06 ODEmimic-iii · torchdiffeq

Neural ODE · Heart Rate ↗

Continuous-time ODE model reconstructing and forecasting irregularly sampled ICU heart-rate trajectories from MIMIC-III with masked-point imputation.

MSE 0.443RMSE ≈ 7.01 bpm
PyTorch · torchdiffeq · MIMIC-III
See all projects
Research & Publications

A patent, papers and applied research.

From a published patent on multimodal healthcare AI to peer-reviewed forecasting and low-resource NLP, my work centres on evaluation, faithfulness and systems that hold up.

Patent · Published

AI-Powered Multimodal Healthcare System for Elderly Care

A multimodal healthcare assistant for elderly users. The core novelty is a unified multimodal vector store that fuses text, voice and image into a single embedding space through an attention-based feature-alignment layer with modality-specific weights, enabling cross-modal retrieval-augmented generation while minimising LLM input cost. A Vision Transformer classifies medical scans, prescriptions and diagnostic reports; speech-to-text, text-to-speech and OCR handle multimodal input; and an adaptive memory personalises advice, medication reminders and lifestyle guidance over time, in English and Hindi.

Indian Patent Application No. 202521086225  ·  Filed 11 Sep 2025  ·  Published 3 Jul 2026  ·  First inventor, with mentor Dr. Debabrata Swain  ·  Pandit Deendayal Energy University

Published

Advanced Forecasting of Solar Power Generation using Bi-LSTM with Fourier Features

A Bi-LSTM with 25 Fourier term-pairs and geo-temporal features for multi-horizon AC-power forecasting across two climatically distinct Indian PV plants, reaching R² = 0.861 and RMSE = 128.09 kW. Adds an adversarial degradation model (soiling, thermal and sensor faults) that quantifies yield loss and generates maintenance recommendations. First author.

Under review · IEEE Transactions

Efficient Labelling of Hinglish Datasets for Hate-Speech Classification

A dual-layered labelling method for low-resource code-mixed Hinglish: an ensemble-consensus pipeline (Twitter-RoBERTa, BETO/mBERT, VADER) with iterative refinement and human feedback bootstraps a high-quality 18K-sentence dataset, reaching 86% accuracy on hate-speech and sentiment classification.

Academic research

Deterministic Document Parsing that Outperforms VLM Parsers

A zero-ML, failure-mode-driven PDF parser reaching CER 0.0135 and token-F1 0.99 on native PDFs, with a self-improving optimizer that lowered character-error rate from 17.07% to 8.29%. Applied research at current work.

In preparation
Toolkit

The stack I reach for.

Languages

  • Python
  • Go
  • C++
  • SQL
  • JavaScript
  • TypeScript
  • Bash

ML / AI

  • PyTorch
  • TensorFlow
  • scikit-learn
  • QLoRA Fine-tuning
  • Agentic RAG
  • LangChain
  • LangGraph
  • Transformers
  • OpenCV
  • vLLM

Agents & LLM Infra

  • OpenAI Agents SDK
  • Google ADK
  • Mastra AI
  • Vercel AI SDK
  • LangFuse
  • MCP

Cloud & Data

  • GCP (Vertex AI, BigQuery, Dataflow)
  • AWS (EC2, S3, EMR)
  • Azure Web Apps
  • Docker
  • ETL / ELT
  • CI/CD

Backend & APIs

  • FastAPI
  • Flask
  • Django
  • Node.js
  • Express
  • Next.js
  • Pydantic

Databases & Vector

  • PostgreSQL
  • MongoDB
  • MySQL
  • pgvector
  • FAISS
  • ChromaDB
  • Qdrant
Proof

Competitions, contests and open source.

Knight
LeetCode
Max rating 2071 (top 1.75%), 190+ solved, AIR 61 in Weekly Contest 462 among 35K+.
Top 105
Google Solution Challenge 2025
Among 4,000+ international teams worldwide.
95.61%ile
GATE CS 2026
Graduate Aptitude Test in Engineering, Computer Science.
Top 10
Hackathon · IIT Patna
Top-10 finish at ByteVerse 2025.
Top 10
Hackathon · DAIICT
Top-10 finish among a large field of teams.
Finalist
JPMorgan Code for Good 2024
Plus Smart India Hackathon 2023, Samsung Solve for Tomorrow, Flipkart GRID 5.0 and DotSlash 6.0 / 7.0.
Rank 936
CodeChef Starters 113D
Top 5% among 19K participants. Kaggle rank 278, Season 4 Ep. 8.
15+ PRs
Open Source
Merged in Hacktoberfest 2024 and GSSoC 2023 / 2024.
Credentials

Certifications.

Five Anthropic programs on Claude and agents, deep-learning fundamentals, and presented summer-school research.

A\
Claude 101
Anthropic
A\
Claude with the Anthropic API
Anthropic
A\
Introduction to Model Context Protocol
Anthropic
A\
Introduction to Agent Skills
Anthropic
A\
AI Fluency: Framework & Foundations
Anthropic
NV
Fundamentals of Deep Learning
NVIDIA DLI
CIS
IEEE CIS Summer School
Presented · IIT Indore
ACM
ACM Summer School
IIT Gandhinagar · NIT Goa · IIT Patna
{ }
ML with Python
freeCodeCamp
G
Google Skills Profile
view ↗
Community

Mentoring and leadership.

2023 — 2025
ACM · PDEU Student Chapter

Advisor & Chair

Mentored 50+ developers and ran automation workshops, DSA bootcamps and code-a-thons. Hosted hands-on labs on Selenium, RegEx, LangChain, Git and systems design.

2021 — 2024
GeeksforGeeks · PDEU Chapter

Tech Lead

Produced hands-on labs on Git, GitHub and shell scripting for 150+ learners, and ran competitive-programming intensives and interview-prep sessions.

2021 — 2023
Cube-i-Cult

Documentation Head

Published event recaps and SOPs and ran logistics for national and inter-college cube-solving competitions.

Writing & video

I explain what I learn.

Breakdowns on Medium and YouTube, from activation functions to neural architecture search.

logits & reason · 01
✎ Medium

Logits & Reason: Part 1

Mar 2026
logits & reason · 02
✎ Medium

Logits & Reason: Part 2

May 2026
meta llm compiler
✎ Medium

Meta LLM Compiler, simplified

Jul 2024
aligngpt · multimodal
✎ Medium

Understanding AlignGPT: gateway to multimodal intelligence

Jun 2024
Activation Functions article cover
✎ Medium

Activation Functions: coffee for neurons

Mar 2024
Neural Architecture Search article cover
✎ Medium

Neural Architecture Search, explained

Jan 2024
Resume tips video thumbnail
▶ YouTube

How to score 97/100 on your resume: tips & tricks

Apr 2024
AQI forecasting with LLMs video thumbnail
▶ YouTube

AQI data forecasting using LLMs

Mar 2024
Medicinal plant identification video thumbnail
▶ YouTube

Medicinal plant identification system

Oct 2023
Read more on Medium
Contact

Always keen for a
good collaboration.

✦ adityajethani11@gmail.com in / LinkedIn ⌥ GitHub ◆ Kaggle ✎ Medium ▶ YouTube
My patent just got published — Read more