Hi, I’m Varshini Kancharla, a Software Engineer with 4+ years of experience delivering full-stack solutions across financial services and retail analytics. I’m proficient in React.js, FastAPI, Flask, PostgreSQL, and AWS, with a strong focus on regulatory compliance, fraud detection, and secure data engineering. I’ve built scalable analytics dashboards that accelerated advisor risk assessments by 32% and optimized database reporting performance by 37%+. I’ve also developed ML-driven fraud detection models using TensorFlow and NLP chatbots using Hugging Face, improving advisor response efficiency by 28% across wealth management platforms. I’m passionate about building secure, high-performance, data-driven applications that create measurable business value.…

Varshini Kancharla

Hi, I’m Varshini Kancharla, a Software Engineer with 4+ years of experience delivering full-stack solutions across financial services and retail analytics. I’m proficient in React.js, FastAPI, Flask, PostgreSQL, and AWS, with a strong focus on regulatory compliance, fraud detection, and secure data engineering. I’ve built scalable analytics dashboards that accelerated advisor risk assessments by 32% and optimized database reporting performance by 37%+. I’ve also developed ML-driven fraud detection models using TensorFlow and NLP chatbots using Hugging Face, improving advisor response efficiency by 28% across wealth management platforms. I’m passionate about building secure, high-performance, data-driven applications that create measurable business value.…

Available to hire

Hi, I’m Varshini Kancharla, a Software Engineer with 4+ years of experience delivering full-stack solutions across financial services and retail analytics. I’m proficient in React.js, FastAPI, Flask, PostgreSQL, and AWS, with a strong focus on regulatory compliance, fraud detection, and secure data engineering.

I’ve built scalable analytics dashboards that accelerated advisor risk assessments by 32% and optimized database reporting performance by 37%+. I’ve also developed ML-driven fraud detection models using TensorFlow and NLP chatbots using Hugging Face, improving advisor response efficiency by 28% across wealth management platforms. I’m passionate about building secure, high-performance, data-driven applications that create measurable business value.

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Work Experience

Software Engineer at JPMorgan Chase
August 1, 2023 - Present
Built React.js dashboards integrated with FastAPI microservices to enable wealth advisors to complete regulatory investment risk validation tasks 32% faster, with real-time portfolio visuals. Designed partitioned PostgreSQL schemas with advanced indexing to reduce high-volume compliance query times and improve regulatory reporting accuracy. Implemented TensorFlow-based fraud models scanning transaction streams, improving anomalous pattern detection and reducing approval of suspicious activities. Developed a Hugging Face-powered NLP assistant using RAG workflows to automate complex investment queries and reduce manual advisory workload by 28%. Optimized relational data models with selective indexes and materialized views, accelerating dashboards and compliance analytics across large datasets. Delivered responsive dashboards connected to real-time endpoints, improving analyst insights by 30%. Automated CI/CD pipelines with Jenkins and GitHub Actions, reducing production deployment failur
Software Engineer at Tata Consultancy Services
August 1, 2020 - July 1, 2022
Engineered React.js and Flask retail analytics dashboards enabling store managers to review product performance and customer purchasing trends 26% faster. Built optimized MongoDB schemas with indexing and sharding for large datasets, enabling real-time personalized recommendations. Developed PyUnit-based automated test suites integrated with CI pipelines, increasing API coverage to 83% and reducing regression defects. Implemented JWT authentication and granular role-based authorization, safeguarding sensitive customer purchase records and reducing unauthorized data access incidents by nearly 40%. Created asynchronous Flask worker pipelines generating loyalty offers and discount alerts from live purchasing behaviors. Enhanced backend performance via pagination, response caching, and optimized queries, reducing high-traffic API latency by up to 35% and improving dashboard responsiveness during peak usage.

Education

Master of Science in Computer Information System Security at University of Houston
August 1, 2022 - May 1, 2024
Bachelor of Engineering in Information Technology at Vignana Bharathi Institute of Technology
August 1, 2017 - August 1, 2021

Qualifications

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