Headline

Python | AWS | ML /AI | MongoDB | Django | Flask | GEN AI | MySQL | Principal Software Engineer at CMT

About

Senior Python Developer with 7+ years of experience delivering enterprise-grade backend systems, financial risk management platforms, and trading operations solutions for leading global banks, including Bank of America and Cognizant Technology Solutions. Specialized in building scalable, secure, and high-performance applications using Python, Flask, Django, RESTful APIs and cloud-native platforms such as AWS and Kubernetes. Skilled in CI/CD implementation and developing robust architectures that meet complex business and regulatory requirements. Proven expertise in executing MRA4 framework risk calculations across collateralized trades, FX Prime Brokerage, and repo agreements, with deep knowledge of counterparty credit risk and regulatory compliance. Adept at automating workflows using Python and SQL, optimizing query performance, and enhancing application resiliency. Recognized for technical leadership, mentoring cross-functional teams, and integrating AI/ML capabilities using pandas, NumPy, and GPU-accelerated pipelines to deliver innovative, production-ready solutions in the financial services domain.

Location

Coimbatore

AI stack

claude code

claude

codex

cursor

Gumloop

Tabnine

Work experience

Principal Software Engineer I at Cambridge Mobile Telematics, Oct 2025 - Present · 1 yr 1 mo, Chennai, Tamil Nadu, India

Software Engineer at Bank of America, Jun 2022 - Sep 2025 · 3 yrs 4 mos, Chennai, Tamil Nadu, India, •Directed and delivered high-impact risk data engineering initiatives under the MRA4 framework, covering collateralized trades, FXPB, and repo agreements, with precise exposure calculations for beneficial owners and legal entities. •Designed, implemented, and maintained Flask/Django-based RESTful APIs supporting mission-critical systems across equities, futures, options, and FX trading operations. •Established CI/CD pipelines using Jenkins and GitHub Actions, enabling automated testing, security scanning, and zero-downtime deployments, improving release velocity and operational resilience. •Architected and optimized high-throughput data processing pipelines for the Derivative Trade Processing platform, enhancing Straight Through Processing (STP) and reliably handling tens of millions of transactions daily. •Partnered with ML researchers and data scientists to productize GenAI features for financial compliance and risk management, building GPU-optimized pipelines leveraging PyTorch/TensorFlow for large-scale risk analytics. •Led root cause analysis and performance tuning for complex production issues, driving permanent fixes and reducing repeat incidents. •Championed automation in exposure and margin reporting with Python/SQL, reducing manual effort by over 40% and improving audit compliance accuracy. •Mentored junior engineers, reviewed critical code changes, and guided architectural decisions to align with security, scalability, and regulatory needs.

Programmer Analyst at Cognizant, Apr 2021 - Jun 2022 · 1 yr 3 mos, Chennai, Tamil Nadu, India, •Led backend development of secure RESTful APIs in Flask for Automation Anywhere 360 and NLP chatbot solutions integrated with financial and customer service platforms. •Designed API contracts, implemented JWT-based authentication, and optimized SQL queries for high-volume transactional data. •Integrated backend deployments with AWS and Azure cloud services, applying best practices for scalability, fault tolerance, and cost optimization. •Built CI/CD pipelines using Jenkins and GitHub Actions, automating unit/integration tests and improving delivery timelines by 25%. •Provided technical leadership within the team, assisting in requirement analysis, architectural planning, and sprint prioritization.

Python Developer at Ezio Solutions Private Limited, Sep 2020 - Apr 2021 · 8 mos, Coimbatore, Tamil Nadu, India, •Developed Python-based backend services and chatbots using Flask for various automation workflows. •Deployed and maintained solutions on Google Cloud Platform (GCP) and AWS, ensuring high availability and security compliance. •Worked closely with product teams to define scope, plan releases, and execute Agile sprints. •Developed predictive analytics models for market trend forecasting using Pandas, NumPy, and Scikit-learn. •Built automated web scraping and data cleaning pipelines to prepare external financial market data for ML training. •Deployed models on AWS and GCP with scalable endpoints for integration into decision-support systems. •Designed backend services to deliver ML predictions to end users via secure APIs.

Data Scientist at Lakeba Group, Aug 2019 - May 2020 · 10 mos, Greater Coimbatore Area, •Developed data pipelines for ML model training and deployment, leveraging Pandas, NumPy, and TensorFlow to process large datasets. •.Led an ML-driven predictive analytics initiative using the BERT classification algorithm to forecast virus outbreak reports, integrating time-series analysis and statistical modeling. •Designed end-to-end ETL pipelines using Pandas, NumPy, and SQL for large datasets. •Built backend APIs and data ingestion processes supporting real-time analytics dashboards. •Ensured all deliverables met agreed acceptance criteria through stakeholder reviews and testing cycles.

Education

Bachelor of Engineering, Ethical Hacking,Multimedia,Python, United Institute of Technology

Higher Secondary School Certificate, Computer Science, Government Higher Secondary School - India

Public links

github: https://github.com/haripriya007