Available to hire
I am a Senior Python Developer with around 9 years of experience designing, developing, and supporting scalable, cloud-native backend systems and AI/ML-enabled applications for enterprise and high-traffic environments.
I specialize in building high-performance services with FastAPI, Django, and Flask, following clean architecture and SOLID principles. I have a strong background in integrating AI/ML into backend systems using OpenAI GPT, LangChain, LlamaIndex, and Hugging Face Transformers, including building Retrieval Augmented Generation (RAG) pipelines with vector databases to enable intelligent search and knowledge assistants.
Language
English
Fluent
Work Experience
Senior Python Developer at Ramp
October 1, 2023 - PresentLed the design and evolution of Ramp’s AI-driven financial operations platform. Built scalable Python-based microservices with FastAPI and Django, established a distributed microservices architecture with API Gateway patterns, rate limiting, and circuit breakers. Developed LLM-powered agents using Google ADK for multi-step reasoning and decision-making. Implemented REST and GraphQL APIs with DataLoader and schema federation to reduce over-fetching. Integrated OpenAI GPT, LangChain, and LlamaIndex for conversational AI workflows, and built Retrieval Augmented Generation (RAG) pipelines with Pinecone and PostgreSQL. Orchestrated AI agent workflows, deployed ML pipelines for fraud risk scoring, and implemented high-performance caching with Redis. Deployed on AWS with Terraform (EKS, RDS, DynamoDB, Lambda) and managed CI/CD with GitHub Actions. Enforced RBAC with OAuth/JWT and mentored junior engineers.
Senior Python Developer - AI/ML at Sprint
May 1, 2021 - September 1, 2023Contributed to a cloud-native platform for telecom data analytics and automation. Built scalable backend services using Python, FastAPI, and Django, and designed a distributed microservices landscape. Implemented REST and GraphQL interfaces with schema federation and DataLoader to optimize payloads. Built ML-driven analytics for network anomalies and churn prediction, deployed as asynchronous inference APIs. Established event-driven processing with Celery, Redis, and AWS SQS, and implemented enterprise caching with Redis. Automated AWS infrastructure with Terraform (EKS, RDS, DynamoDB, Lambda) and containerized services with Docker/Kubernetes. Led CI/CD pipelines with GitHub Actions and CodeBuild, enforced tests and security checks, and promoted TDD practices.
Senior Python Developer - AI/ML at Catalent Pharma Solutions
September 1, 2019 - April 1, 2021Contributed to Catalent’s healthcare data platform, enabling real-time data ingestion, ML-based classification, fraud detection, and analytics. Built secure RESTful APIs, implemented OAuth/JWT RBAC, and designed a distributed Kafka-based event streaming architecture for near real-time processing. Optimized MongoDB datasets with advanced indexing and aggregation, and deployed end-to-end ML pipelines using Scikit-learn, XGBoost, and Pandas. Implemented Redis caching and deployed cloud-native applications on AWS (EC2, S3, RDS, Lambda, API Gateway) with Kubernetes-based orchestration and Terraform for IaC.
Python Developer - Machine Learning at Wayfair
February 1, 2018 - August 1, 2019Worked on Wayfair’s retail analytics and personalization platform, delivering large-scale data processing and ML-driven recommendations. Built backend services with Python (Flask) and implemented JWT-based authentication, server-rendered UIs, and cloud deployments on Azure. Optimized MySQL performance with indexing and query tuning, developed asynchronous processing pipelines with RabbitMQ, and produced production ML models for recommendations and CLV. Led Docker-based containerization and Kubernetes deployments with Helm, and implemented CI/CD with Azure DevOps.
Senior Python Developer - AI/ML at Pidilite Industries
July 1, 2016 - November 1, 2017Contributed to Pidilite’s digital sales and enterprise integration platform, modernizing legacy systems with Python/Django REST APIs and SOAP/REST integrations. Optimized PostgreSQL schemas with advanced indexing, implemented ETL workflows, and built distributed background jobs with Celery and Redis. Delivered ML-based analytics for sales and operational insights, containerized services with Docker, and managed deployments with Kubernetes. Participated in Agile ceremonies and maintained technical documentation.
Education
Master’s in Software Engineering at Oklahoma Christian University
January 11, 2030 - February 16, 2026Qualifications
Industry Experience
Software & Internet, Financial Services, Healthcare, Retail, Telecommunications, Professional Services, Manufacturing
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