Experienced backend software engineer with 1+ years of proven expertise in building scalable,
production-ready APIs and systems using Python. Driven by a passion for architecting robust systems and
solving the unique technical challenges that come with operating at scale with a core focus on
integrating LLMs and complex retrieval pipelines into real-world backend infrastructure.
Currently exploring academic research pathways in the fields of LLMs and Agentic AI systems with a
specific focus on agentic multimodal RAG architectures.
Diagnosed and resolved critical bugs across enterprise-level Django ecosystems by
leveraging terminal-first diagnostics, advanced ORM optimization and distributed systems
troubleshooting to ensure high availability.
Built embeddable widgets used across multiple client websites via a single HTML
snippet, enabling seamless integration without requiring backend setup on the client side.
Translated Figma designs into modular frontend components and integrated multiple
RESTful APIs, utilizing Redux Toolkit for asynchronous state management to ensure seamless
data-driven UI rendering.
fastapi, sqlalchemy, alembic, docker, redis, celery, postgresql, pytest
Designed and implemented a production-style Task Management API using FastAPI
with RBAC, JWT authentication, Redis caching, Celery background workers and Docker-based
multi-service deployment.
fastapi, langchain, chromadb, postgresql, next.js, redux, docker
RAG-powered interview preparation platform built with FastAPI, LangChain, and
ChromaDB that processes 4.5GB of career data, utilizing hybrid search and strict JSON schema
enforcement to generate structured, personalized interview insight.
django, mysql, bootstrap, celery, stripe-payments, htmx
Live, production-ready Django eCommerce platform using HTMX for smooth in-page
updates and Stripe for secure payment processing.
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