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I'm a software engineer with around 3 years of experience delivering scalable, data-driven solutions across financial services and consulting domains. I'm skilled in React.js, FastAPI, Python, PostgreSQL, and AWS, with expertise in AI-powered fraud detection, predictive analytics, and process automation. I excel at bridging business and technology by delivering secure, high-performance platforms that enhance decision-making, regulatory compliance, and operational efficiency across global financial and consulting engagements.…I'm a software engineer with around 3 years of experience delivering scalable, data-driven solutions across financial services and consulting domains. I'm skilled in React.js, FastAPI, Python, PostgreSQL, and AWS, with expertise in AI-powered fraud detection, predictive analytics, and process automation. I excel at bridging business and technology by delivering secure, high-performance platforms that enhance decision-making, regulatory compliance, and operational efficiency across global financial and consulting engagements.

Abhilash Reddy Teegala

Front-End Developer, Back-End Developer, Full Stack Developer, +2

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I'm a software engineer with around 3 years of experience delivering scalable, data-driven solutions across financial services and consulting domains. I'm skilled in React.js, FastAPI, Python, PostgreSQL, and AWS, with expertise in AI-powered fraud detection, predictive analytics, and process automation. I excel at bridging business and technology by delivering secure, high-performance platforms that enhance decision-making, regulatory compliance, and operational efficiency across global financial and consulting engagements.…I'm a software engineer with around 3 years of experience delivering scalable, data-driven solutions across financial services and consulting domains. I'm skilled in React.js, FastAPI, Python, PostgreSQL, and AWS, with expertise in AI-powered fraud detection, predictive analytics, and process automation. I excel at bridging business and technology by delivering secure, high-performance platforms that enhance decision-making, regulatory compliance, and operational efficiency across global financial and consulting engagements.

Available to hire

I’m a software engineer with around 3 years of experience delivering scalable, data-driven solutions across financial services and consulting domains.

I’m skilled in React.js, FastAPI, Python, PostgreSQL, and AWS, with expertise in AI-powered fraud detection, predictive analytics, and process automation. I excel at bridging business and technology by delivering secure, high-performance platforms that enhance decision-making, regulatory compliance, and operational efficiency across global financial and consulting engagements.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer at JP Morgan Chase & Co.

February 1, 2024 - Present

Architected end-to-end financial analytics platforms using React.js, FastAPI, and PostgreSQL to enable real-time exposure calculations and compliance monitoring across multi-asset portfolios. Implemented AI-driven anomaly detection with TensorFlow and PyTorch, improving risk mitigation accuracy by 26% in regulated portfolios. Built high-throughput API gateways with FastAPI and Nginx to reduce latency for live order processing. Developed RAG-based financial assistants with LangChain to automate regulatory document interpretation, cutting compliance review time by 32%. Implemented serverless ETL workflows with AWS Lambda and S3 to ingest market data and boost throughput during high-volume periods. Deployed Kubernetes-based microservices with GitHub Actions to ensure zero-downtime releases and consistent CI/CD across teams.

Software Engineer at Genpact

February 1, 2021 - July 1, 2022

Designed interactive dashboards with React.js and Flask, delivering KPI and SLA visibility for global processes. Automated data pipelines with Python, SQL, and Azure Data Factory, reducing manual reporting by 45%. Built predictive forecasting models with Scikit-learn and Keras, improving turnaround time by 22%. Implemented real-time analytics with Power BI and PostgreSQL, identifying cost-savings in procurement and supply chain. Implemented AI-enabled document intelligence with Hugging Face to accelerate audit prep by 30%. Enhanced DevOps automation with GitLab CI/CD and Docker for reliable deployments.