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Full Stack Engineer with 2+ years in Django, FastAPI & PostgreSQL
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Assessing your cultural and operational fit
Python Backend Developer with hands-on experience in building scalable backend applications using Django and FastAPI. Skilled in designing RESTful APIs, managing PostgreSQL databases, and optimizing backend performance. Proven ability to collaborate with cross-functional teams and deliver reliable, high-quality solutions for production systems.
GLA UNIVERSITY
Bachelor of Technology · Computer Science and Engineering
August 1, 2020 – May 1, 2024
Corbus (India) LLC
Senior Associate 1
November 1, 2024 – Present
India
DABOTICS India pvt ltd
Full Stack Developer Intern
May 1, 2024 – October 1, 2024
India
Universal Music Group
November 1, 2024 – June 1, 2026
Contributed to Backend services for a globally distributed platform serving millions of active users across multiple regions. Developed and maintained Python-based backend services handling high-volume API traffic. Built and integrated RESTful APIs consumed by frontend applications for daily business operations. Integrated backend services with frontend applications and internal systems. Ensured secure data exchange, proper validation, and error handling across APIs. Improved backend performance by 30-40% through query optimization, indexing, and code-level improvements. Support Production environments, assisting in debugging and resolving live issues with minimal downtime.
Smart Healthcare Appointment System
May 1, 2024 – October 1, 2024
Developed a full-stack healthcare platform using React, Django, and PostgreSQL for online doctor booking and patient management with secure authentication and role-based access control. Designed RESTful APIs with Django for handling user authentication, appointment scheduling, and medical records with optimized performance and scalable backend architecture. Optimized database queries in PostgreSQL to efficiently manage patient history and doctor availability with improved performance and reduced response time.
RAG Book Assistant | Python, LangChain, Streamlit, ChromaDB, Mistral AI
May 1, 2024 – October 1, 2024
Developed an AI-powered RAG (Retrieval-Augmented Generation) application for querying PDF books/documents. Implemented PDF parsing, text chunking, embeddings generation, and vector search using ChromaDB. Built an interactive Streamlit UI with PDF upload functionality and conversational question-answering. Integrated Mistral AI LLM for context-aware responses using LangChain retriever pipeline.
Cultural Fit Analysis
The candidate has experience in both professional and academic projects, demonstrating a breadth of interests from traditional backend development to emerging AI applications. The 'Universal Music Group' project indicates experience in a high-volume, user-facing environment, while the 'Smart Healthcare Appointment System' shows full-stack capabilities. The 'RAG Book Assistant' project highlights an interest in cutting-edge AI technologies. This diversity suggests adaptability and a willingness to explore new domains, which could be a good cultural fit for an innovative team. However, the limited professional experience (less than 1 year) means the depth of cultural integration in a corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's resume highlights contributions to globally distributed platforms and collaboration with cross-functional teams, suggesting an ability to work in team environments. Experience in supporting production environments indicates a sense of responsibility and problem-solving under pressure. However, without specific psychometric or communication test results, a deeper assessment of soft skills and operational fit is limited.