Bharat Kaurav

Software & AI Engineer • Qure.ai & Foundation Industries • Published researcher

15K+

Users Impacted

$300K+

Platform ARR

Flagship Builds

Papers Published

View Resume Explore Projects

Current Focus

Software Engineering

Enterprise manufacturing platforms and full-stack systems at Foundation Industries (YC X25)

AI & Gen AI

Clinical AI pipelines at Qure.ai; generative AI, MLOps, and published flood-prediction research

Education

B.Tech CSE at IIT Indore (GPA 8.66/10, current)

Tech Stack Highlights

AI/ML

PyTorch Transformers LoRA & Diffusers

Full Stack

Next.js React Python

Cloud & DevOps

AWS Docker Supabase

Professional Experience

AI Engineer

Qure.ai — Research & Optimization Dec 2025 – Present Bangalore, India (Remote)

Redesigned a sequential 5-stage AI pipeline into an orchestrated parallel architecture with model tiering for Logic Trees, cutting recommendation latency from 26s to under 5s and removing LLM API costs
Built a high-scale evaluation framework for clinical accuracy (Lung-RADS, Fleischner) across 10k+ test cases, with an automated loop sustaining 100%+ pass rates through iterations

Software Engineer

Foundation Industries (YC X25) — Full Stack & DevOps Dec 2025 – Present San Francisco, USA (Remote)

Architected an enterprise manufacturing platform with $300k ARR, React Three Fiber 3D CAD viewer, and multi-file uploads via Vercel Blob for 50MB+ datasets; integrated Stripe and Supabase for automated workflows
Improved reliability and bundle size with dynamic imports and lazy loading; built automated notifications with React Email, Resend, and Slack webhooks

Software Engineer

Metzev May 2025 – Oct 2025 Georgia, USA (Remote)

Developed a scalable EV battery management platform using Next.js and Supabase with real-time data handling
Implemented performance optimizations including code splitting, lazy loading, and database indexing
Scaled platform to 15,000+ users across 1,000+ stores in USA, securing 5 major clients
Contributed to $50K+ revenue growth through platform optimization and client acquisition initiatives
Ensured platform reliability through performance-focused design and robust backend architecture

MLOps Engineer

unstudio.ai — Research & Backend Nov 2024 – Apr 2025 Gurgaon, India (Remote)

Engineered a scalable, personalized product training and visualization pipeline for FLUX using LoRA fine-tuning
Improved image quality and experience for 2000+ users globally, driving customer retention
Built distributed training system using Redis Pub/Sub with robust error handling and automated CI/CD via GitHub Actions
Optimized model inference reducing costs by 30%, contributing to improved profit margins

Machine Learning Consultant

Styldod Inc. — Research & Optimization Jun 2024 – Oct 2024 Bangalore, India (Remote)

Optimized diffusion model inference using Onediffusion and Stablefast, achieving 50% faster inference and 30% GPU usage reduction
Developed scalable pipeline for image collection, quality control, and labeling; tested with 300k+ images

Research Intern

LIPG, IIT Indore Jul 2023 – Present Indore, India

Created a 5000+ image dataset using DINOv2 and SAM for automated segmentation mask generation
Achieved 96% SOTA classification accuracy using ECA, SAM, hybrid CNN-Transformer architecture with frequency feature interaction
Research paper published in Sustainable Cities and Society journal (Impact Factor: 10.5)

Key Collaborations

Virtual Try-On Optimization

Alle • Dec 2024

Led team of 5 to optimize LoRA-based try-on system for FLUX, achieving 2.5× faster boot-up and 98.7 PSNR on A40/H100 GPUs

LLM-SQL Generation

Attentions.ai • Apr 2024

Led team of 5–7 to fine-tune LLaMA, Gemma, Qwen & Phi models for complex SQL query tasks; achieved 90% accuracy

Featured Projects

Sobra: Soybean Disease Classification & Explanation

Apr 2025 • Latest

Multimodal AI system for soybean disease classification using vision-language models and attention-based reasoning, achieving 95% accuracy on real-world data. Integrated RAG pipeline for symptom-based remedy suggestions from damaged leaf images.

Vision-Language Models RAG PyTorch Computer Vision Explainable AI

Dynamic Agentic RAG System

Dec 2024 • 13th Inter IIT-Tech Meet, IIT Bombay

Production-grade multi-pipeline RAG with three specialized architectures (HybridFL, FLARE, DRAGIN) for legal and financial domains, with real-time knowledge graph updates via Pathway. Achieved 15–20% performance gains over GPT-4 and open-source LLMs on custom benchmarks; Docker-microservices, separate vector stores, and Streamlit production UI.

Python RAG Pathway Docker Streamlit

Behavior Simulation Challenge

Nov 2023 • 12th Inter IIT-Tech Meet, IIT Madras • Bronze (Rank 3 / 22+ IITs)

Dual-task ML pipeline: tweet engagement prediction at 96% accuracy and content generation with fine-tuned LLaMA. Scalable multimodal data processing for 1M+ heterogeneous records (text, image, audio, video).

LLaMA NLP Multimodal Deep Learning

Automatic TikTok Generator

May 2024

Automated video editing pipeline achieving 50-60s processing for 5s UHD videos. Complete pipeline with AnimateDiff and ControlNet, evaluated using SOTA benchmarks.

AnimateDiff ControlNet Video Processing Computer Vision

Hostel & Mess Management System

IITI Academic Office

Complete Django-based mess and hostel allocation system for IIT Indore. Engineered full-stack solution with comprehensive documentation and security measures.

Django Python Database Design System Architecture

Open Source Contributions

EchoMimicV2 & Float

Developed notebooks to standardize initial model setup and workflow testing.

PixArt Sigma

Debugged and fixed errors in the LoRA training script, enabling fine-tuning of models.

Publications

An explainable deep neural network with frequency-aware channel and spatial refinement for flood prediction in sustainable cities

Sustainable Cities and Society, Vol. 130, 2025

Authors: B. Kaurav, S. S. Dar, A. Jain, C. S. Raghaw, M. Z. U. Rehman, N. Kumar

Developed an explainable deep neural network architecture incorporating frequency-aware channel attention and spatial refinement mechanisms for accurate flood prediction in urban environments, contributing to sustainable city planning and disaster management.

View Publication

Under review

Forest-fire detection using a modified YOLO architecture
Landslide area segmentation with Sentinel-2 remote sensing imagery

Technical Skills

Languages & Tools

Python C/C++ SQL Cursor Claude Code Shell Scripting

ML & Generative AI

PyTorch HuggingFace Transformers Diffusers LoRA BitsAndBytes LangChain / LlamaIndex

Web & Backend

React Next.js FastAPI Flask Django PostgreSQL Stripe Vercel

MLOps & Infrastructure

Docker AWS (EC2 / S3) GitHub Actions Redis Supabase

Education

B.Tech. in Computer Science & Engineering

Indian Institute of Technology Indore Oct 2022 – May 2026 (expected) GPA: 8.66 / 10 (current)

Key Courses

Data Structures & Algorithms Database Systems Software Engineering Computer Networks Operating Systems System Architecture Parallel Computing Linear Algebra Machine Learning Computer Vision

Achievements

Bronze Medal

Inter IIT Tech Meet 12.0 — Bronze medal, Behaviour Simulation Challenge (2023)

JEE Advanced

All India Rank 1083 (out of 150k+ applicants, 2022)

JEE Mains

All India Rank 5995 (out of 1M+ applicants, 2022)

IPhO India team

Among top 300 candidates for the India team