About Me
Hi, I’m Smriti Yadav, a data-driven Software Engineer passionate about scalable backend systems, intelligent AI/ML models, and modern DevOps. Currently completing my B.Tech in IT at Manipal University Jaipur, my journey in tech revolves around bridging infrastructure and AI. From engineering high-throughput ETL pipelines to optimizing data research for ISRO and DRDO, I love building systems that solve complex problems. When I'm not writing code, you can usually find me traveling to new destinations, exploring different cultures, and hunting down the best local food!
Education
B.Tech, Information Technology
Manipal University Jaipur
2022 - 2026 | CGPA: 7.92/10
Class 12th (CBSE)
Lucknow Public School
2020 - 2021 | 90.4%
Class 10th (CBSE)
Lucknow Public School
2018 - 2019 | 97.2%
Experience
SRTD Intern
Space Applications Centre (SAC), ISRO
July 2025 – October 2025
- Analyzing satellite radar imagery to extract and classify meaningful patterns using geospatial features and domain-specific characteristics.
- Building a machine learning-based model for effective differentiation of SAR images, contributing to automated image interpretation workflows for remote sensing applications.
R&D Intern
INMAS, DRDO, Ministry Of Defence
June 2024 - August 2024
- Developed immersive VR simulation models leveraging advanced programming and 3D modeling techniques, enabling realistic and interactive virtual environments for enhanced user engagement.
- Managed and processed large datasets efficiently using Python, ensuring smooth integration of data with VR simulations and enabling real-time adaptability and insights.
Skills
Languages & Web
Languages: Python, JavaScript, TypeScript, HTML/CSS
Frameworks: React (Vite), Node.js
Data Analytics: Google Data Analytics Certified, Power BI, Tableau
Backend & Databases
Frameworks: Django, RESTful APIs, Microservices
Relational: SQL, PostgreSQL, MySQL
NoSQL & Cloud: MongoDB Atlas, AWS DynamoDB
DevOps & System Design
Architecture: Microservices, Event-Driven Design, Load Balancing, CDNs
Infrastructure: Docker, Kubernetes, AWS, Azure, Linux/Unix, Bash Scripting
Pipelines & Queues: CI/CD (Jenkins, GitHub Actions), Kafka, Redis
AI / Machine Learning
Core AI: GenAI, RAG Architectures, Agentic Workflows, NLP (Hugging Face)
Libraries: PyTorch, Scikit-learn, NumPy, Pandas, OpenCV
Automation: n8n, Jupyter, Google Colab
Projects
PyWarp-Data Gateway & ETL Pipeline
A secure, high-performance ETL pipeline designed to redact PII and normalize chaotic log data for seamless integration with downstream AI and SIEM platforms.
Context-Aware Q&A with RAG Architecture
Developed a full-stack AI application using RAG architecture to provide fact-based answers, integrating LangChain, Pinecone, and Google Gemini.
Credit Approval System-Backend
This is a backend system for a credit approval app built with Django, Django Rest Framework (DRF), Celery, and PostgreSQL. It is fully dockerized.
Wildlife Conservation using AI
Developing an AI system for bird species classification and migration pattern analysis using deep learning models (CNNs/Transformers) on eBird datasets.
