AI-native portfolio · intent-routed · context-aware
SDE — Backend & AI Engineer
Shreya Upadhyay
Building adaptive backend systems, AI-powered infrastructure, and distributed engineering architecture.
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About
Engineering mindset. Systems thinking.
I approach software engineering as a discipline of systems thinking — designing architectures that scale, building backends that handle real transaction load, and integrating AI where it delivers measurable impact.
From Razorpay-integrated payment microservices processing 100+ daily transactions to tri-modal UAV detection at DRDO achieving 97.6% accuracy on edge devices — my work sits at the intersection of backend engineering, distributed systems, and applied AI.
B.Tech CS&E at BIT Mesra (8.27 CGPA). Open to backend / SDE roles for the 2026 batch.
Experience
Backend Engineer Intern
Jan 2026 – PresentIedeo
Chennai, India- ▸Engineered a Razorpay-based payment microservice handling 100+ daily transactions and built HubSpot two-way integration (LHCA SaaS), automating data sync and reducing manual effort by ~40%.
- ▸Containerized microservices using Docker and contributed to AWS (EC2, S3) deployment, reducing environment setup time by ~50%.
Summer Research Intern
May 2025 – July 2025DRDO - Solid State Physics Laboratory (SSPL)
New Delhi, India- ▸Developed tri-modal (Audio, Visual, RF) drone detection system achieving ~97.6% accuracy for real-time UAV detection.
- ▸Deployed CNN models (LeNet, ResNet, MobileNet) on NVIDIA Jetson Orin Nano, achieving ~6ms latency on 10GB+ dataset.
Education
B.Tech in Computer Science & Engineering
Birla Institute of Technology, Mesra
Nov 2022 – June 2026
CGPA: 8.27/10.0 — DSA, DBMS, OOP, Computer Networks, OS, Machine Learning.
Higher Secondary (ISC)
Motilal Nehru Public School, Jamshedpur
2019 – 2021
Focused on Mathematics, Computer Science, and Pure Science.
Intelligence Architecture
This portfolio is powered by a multi-LLM orchestration pipeline with semantic intent routing.
> real architecture · not a gimmick
Pipeline Flow
3
LLM Providers
<15s
Cascade Timeout
700
Max Tokens
12/min
Rate Limit
Projects
Engineering case studies — real systems, real scale.
CareerHub
10+ Spring Boot microservices with API Gateway and service discovery. LLM resume analysis and 400+ DSA problems boosting engagement ~40%.
React.js
Synapse-IQ
LLM BI agent with tool-calling + GraphQL APIs for real-time insights. Multi-provider fallback (4 LLMs) with ~60% token reduction.
GraphQLStreamlit
AstraStay
Backend APIs supporting complete booking lifecycle. JWT + RBAC auth with concurrency-safe booking logic for data consistency.
TeXume
LaTeX resume builder with real-time preview, customizable templates, and ATS-friendly PDF downloads.
React.js
FacePunch
Smart attendance with real-time face recognition, duplicate prevention, and role-based access control.
Plant Wellness
CNN-based plant disease detection with real-time prediction in a Streamlit web application.
Streamlit
Technical Stack
Languages, frameworks, and engineering tools I work with.
Full Stack & Backend
AI / GenAI
Databases
DevOps & Tools
Languages
JavaPython
CSQLJavaScriptTypeScriptCoursework
- Data Structures & Algorithms
- Software Engineering
- DBMS
- Object-Oriented Programming
- Computer Networks
- Operating Systems
Achievements & Leadership
Highlights beyond the code.
550+ DSA Problems
550+Solved across LeetCode, CodeChef, and GeeksforGeeks.
Amazon ML Challenge 2024
300K+Built Computer Vision model to process 300K+ product images for structured data extraction.
Design Co-Lead, IEEE
IEEESpearheaded technical & design campaigns, significantly expanding student engagement in events.
Certifications
AWS Certified Cloud Practitioner (CLF-C02)
Udemy + Amazon Web Services
Associate AI Engineer for Developers
DataCamp
Java Data Structures and Algorithms
Udemy
OCI 2025 AI Foundations Associate
Oracle Cloud Infrastructure
Get In Touch
Feel free to reach out — I'd love to hear from you.
shreyaupadhyay.work@gmail.com
Location
India
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