
•Built the backend for an automated AI voice bot handling 50,000+ daily calls. Implemented intelligent retry logic and
utilized Django Celery Beat for database-backed periodic task scheduling, reducing manual team outreach by 85%.
• Deployed event-driven microservices on AWS Lambda and EC2. Utilized Boto3 to interface with AWS services and
refactored code to use the Factory Pattern in Python, achieving sub-200ms webhook response times.
• Developed a robust data synchronization service between HubSpot CRM, BigQuery, and internal tools. Integrated
Sentry for real-time error tracking and RabbitMQ for reliable message processing across 500K+ records.
• Led the backend integration of payment services for the flagship ”Uplevel” product. Optimized Django ORM queries and
database indexing in PostgreSQL, reducing complex transaction query times from 1.2s to 300ms.
• Engineered the backend for multiple lead magnet tools (Resume Analyzer, Salary Analyzer) using FastAPI. Applied Prompt
Engineering on Gemini and OpenAI models, directly contributing to $120,000+ in revenue.
• Orchestrated asynchronous workflows for an AI Resume Analyzer. Utilized OpenAI GPT models to run parallel tasks
(ATS scoring, salary insights) via Celery background workers, improving user wait times by 40%.
Automating Hashedln University
C.G.P.A.: 8.2
Python
Django
Django Rest Framework
Java
PostgreSQL
RDBMS
NoSQL DB
EBS
EC2
LOGz, Orion
RDS
AWS Lambda
SQL
MySQL
Object-oriented programming
HTML and XML
Software development
API development
Database management
Agile
Team collaboration
API design
Amazon web services
Development lifecycles
Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.
AI Resume Analyzer (Lead Magnet), AI Salary Analyzer, AI-Quotient
Links :
ShortCutReels
Highest Contributer award in Interview Kickstart in One quarter.