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Bharat Kaurav

Bharat Kaurav

Software & AI Engineer • Qure.ai • Published researcher

15K+Users Impacted
$300K+Platform ARR
4Flagship Builds
1Papers Published
View ResumeExplore 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

PyTorchTransformersLoRA & Diffusers

Full Stack

Next.jsReactPython

Cloud & DevOps

AWSDockerSupabase

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 – Mar 2026

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

Projects

Featured

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 ModelsRAGPyTorchComputer VisionExplainable 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.

PythonRAGPathwayDockerStreamlit

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).

LLaMANLPMultimodalDeep 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.

AnimateDiffControlNetVideo ProcessingComputer 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.

DjangoPythonDatabase DesignSystem 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

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.

Skills

Languages & Tools

PythonC/C++SQLCursorClaude CodeShell Scripting

ML & Generative AI

PyTorchHuggingFace TransformersDiffusersLoRABitsAndBytesLangChain / LlamaIndex

Web & Backend

ReactNext.jsFastAPIFlaskDjangoPostgreSQLStripeVercel

MLOps & Infrastructure

DockerAWS (EC2 / S3)GitHub ActionsRedisSupabase

Education

B.Tech. in Computer Science & Engineering

Indian Institute of Technology Indore

Oct 2022 – May 2026 (expected)

GPA: 8.66 / 10 (current)

Data Structures & AlgorithmsDatabase SystemsSoftware EngineeringComputer NetworksOperating SystemsSystem ArchitectureParallel ComputingLinear AlgebraMachine LearningComputer 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

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