Hi, I'm Bhumik

Backend Engineer & Applied AI Developer building intelligent software from backend architecture to production deployment.

I enjoy building software that brings together backend engineering and applied AI. Most of my work revolves around designing APIs, building authentication and data systems, integrating cloud services, and embedding AI capabilities such as computer vision and LLMs into real products. Alongside product development, I've also published research in computer vision, giving me experience across both engineering and research.

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Delhi, India | Available for Opportunities

Portrait of Bhumik Uppal

~/current-focus

▸LLM Workflows
▸Product Engineering
▸System Design
▸Backend Architecture
▸Authentication Systems
▸AI Products
▸Applied AI
▸Machine Learning
▸Computer Vision

About

I enjoy building products where strong backend engineering meets applied AI. Whether it's designing backend systems, building authentication flows, integrating AI into existing products, or deploying production ready applications, I enjoy solving engineering problems that have a real impact on the people using them.

Over the past year, I've worked across education, healthcare, and enterprise products, taking ideas from the first database schema to deployment. Along the way, publishing research in computer vision gave me a research driven perspective that complements my hands on experience in building software.

~/current-focus

▸LLM Workflows
▸Product Engineering
▸System Design
▸Backend Architecture
▸Authentication Systems
▸AI Products
▸Applied AI
▸Machine Learning
▸Computer Vision

Experience

3 positions

Jul — Present 2026

Software Developer, Founder's Office

Univaegis AI — Delhi, India

After successfully completing my internship, I joined UNIVAEGIS AI as a full time Software Developer, working directly with the CEO to build and scale AI products. My role extends beyond development, contributing to backend architecture, product planning, integrations, and technical decisions across multiple platform features.

  • Designed and maintained backend systems powering authentication, bookings, scheduling, and platform workflows while ensuring reliability and scalability.
  • Collaborated closely with product leadership to translate ideas into production ready features, balancing technical implementation with product requirements.
  • Integrated cloud services, third party platforms, and AI capabilities to support intelligent workflows across the product ecosystem.

Jan — Jul 2026

Software Engineer Intern

Univaegis AI — Delhi, India

Worked on Your Next University (YNU), an AI powered platform helping students plan their study abroad journey. I contributed across backend development, authentication, booking workflows, payment integrations, scheduling, and internal administration tools while collaborating directly with the founder.

  • Built the complete authentication flow including Google OAuth, JWT authorization, OTP verification, password reset, and secure user onboarding.
  • Designed and implemented the peer counselling workflow covering counsellor discovery, booking, payments, Google Calendar scheduling, and automated Google Meet generation.
  • Developed internal dashboards and platform services for administrators and peer counsellors while integrating AWS S3, payment gateways, and external APIs.

Jul — Aug 2025

AI & Full Stack Developer Intern

Escorts Kubota Ltd. — Faridabad

Designed and developed an AI powered business intelligence assistant that transformed natural language questions into meaningful business insights. The solution combined backend engineering, language models, and interactive visualization into an internal analytics platform.

  • Built the application using Flask, SQLAlchemy, and Streamlit, creating an end to end workflow from database queries to visual reports.
  • Integrated language models to interpret business questions and generate structured responses from enterprise datasets.
  • Delivered an internal tool that simplified data exploration for non technical teams, enabling faster decision making without writing SQL queries.

Expertise

Technical skills

Programming

PythonJavaSQL

Applied AI

Computer VisionYOLOv5Model TrainingFine TuningModel EvaluationInference PipelinesRAG PipelinesVector DatabasesTensorFlowLangGraph

Backend

Backend ArchitectureSystem DesignAPI DesignREST APIsFastAPIOAuth 2.0JWTDatabase DesignSQLAlchemy ORMCloud Integration

Databases

PostgreSQLMongoDBMySQL

Cloud & DevOps

DockerAWSNginxGitRenderCI/CD PipelineGitHub Actions

Education

B.Tech • Industrial IoT

Vivekananda Institute of Professional Studies
2022–2026

Research Publication

Published • Springer • ICICC 2025

Advanced Computer Vision for Automated Waste Segregation

Developed and evaluated a computer vision pipeline for automated waste segregation using deep learning, image processing, and edge deployment techniques.

Read on Springer →

Competitions

Brewing Codes 3.0

5th Place • Top 5 of 80 Teams

Smart India Hackathon

Institutional Finalist

Hack-O-Clock

Google Developer Group Hackathon

Microsoft Azure Ideathon

AI & Cloud Innovation Challenge

Projects

Selected work — 4 projects

Applied AI

TalentScout AI

Built an AI powered hiring platform that automates technical screening through conversational interviews. Designed the complete full stack architecture with LLM based candidate evaluation, dynamic question generation, and structured hiring reports for recruiters.

LLM Powered RecruitmentGitHub
Computer Vision

Smart Waste Segregation

Developed a hybrid YOLOv5 and CNN based waste segregation system for real time edge inference. Published the research through Springer after deploying the solution on Raspberry Pi using TensorFlow Lite.

Springer PublicationGitHub
Healthcare AI

MedGuard

Built an AI powered medication safety platform that combines OCR and language models to parse prescriptions, detect adverse drug interactions, and deliver multilingual health assistance with offline support.

OCR + LLM PipelineGitHub
Healthcare AI

She Nurtures AI

Developed an empathetic AI assistant focused on women's reproductive healthcare, delivering accessible voice and chat based guidance through intelligent conversational workflows and Azure speech services.

Healthcare AssistantGitHub

Interested in Building Together?

I'm always interested in discussing backend engineering, applied AI, machine learning, and product development. Whether you're building a startup, exploring intelligent systems, or looking for an engineer who enjoys solving complex problems, I'd be happy to connect.

GitHub20+ Public Repositoriesgithub.com/uppal-bhumikLinkedIn1250+ Followerslinkedin.com/in/bhumik-uppal
LocationDelhi, India
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Designed & developed by Bhumik UppalBuilt with React, TypeScript & a lot of coffee