Available to hire
I am a results-driven Full Stack Developer with around 3+ years of experience delivering scalable web applications, cloud-native solutions, and enterprise platforms using Python, FastAPI, React.js, Next.js, TypeScript, AWS, and microservices.
I collaborate with cross-functional teams, stakeholders, and QA in Agile environments and leverage Generative AI, cloud technologies, and DevOps practices to create secure APIs, AI-powered applications, and real-time data processing solutions that drive business value.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Advanced
Work Experience
Full Stack Developer at Citigroup
November 1, 2025 - PresentTransformed treasury and credit risk operations by developing AI-powered platforms using Python, C#, C++, FastAPI, React, AWS, Kafka, PostgreSQL, and large language models, supporting 15,000+ daily transactions. Engineered cloud-native microservices integrating treasury management, liquidity monitoring, credit exposure analytics, GraphQL APIs, Redis, and AWS services, improving scalability by 42%. Optimized real-time payment monitoring and risk assessment through Kafka-driven event processing, distributed systems, and analytics pipelines, delivering 35% faster visibility and 45% less manual effort. Deployed GenAI-powered financial intelligence solutions using RAG, LangChain, Pinecone, semantic search, embeddings, and LLMs, reducing analyst research effort by 40%. Enhanced treasury forecasting and risk reporting by integrating machine learning models, MLflow, predictive analytics, and secure APIs, improving accuracy from 82% to 96%. Hardened deployment reliability and security using Doc
Python Developer at Mphasis
February 1, 2021 - July 1, 2023Delivered fintech lending and payment reconciliation platforms processing 500K+ monthly transactions with 99.8% accuracy using Python, REST APIs, PostgreSQL, MongoDB, Redis, Microservices, and Azure Cloud. Established secure customer onboarding and transaction validation workflows leveraging API integrations, OAuth 2.0, JWT authentication, asynchronous processing, and scalable backend services, reducing onboarding time by 34%. Improved transaction reconciliation accuracy from 84% to 97% by architecting automated matching engines, event-driven systems, data validation frameworks, and PostgreSQL query optimization. Leveraged Python, Pandas, Kafka, ETL pipelines, distributed data processing, and financial analytics frameworks to accelerate exception detection and settlement tracking by 45%. Minimized loan application processing time by 38% through workflow automation, Redis caching, backend performance tuning, risk assessment services, and API-driven microservices architecture. Modernized
Education
Master's in Computer Science at University of Texas at Arlington
January 11, 2030 - December 1, 2025B Tech in Computer Science at CHARUSAT University
January 11, 2030 - May 1, 2023Qualifications
Crash Course on Python
January 11, 2030 - July 2, 2026AI For Everyone
January 11, 2030 - July 2, 2026Machine Learning
January 11, 2030 - July 2, 2026Industry Experience
Financial Services, Software & Internet, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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