Professional Experience
Building scalable solutions and driving innovation across AI/ML and software engineering
Accenture
Custom Software Engineering Senior Analyst
- •Engineered automation pipelines for HPC/AI cluster provisioning using Ansible, reducing deployment time by 30% and saving 80+ engineering hours per quarter
- •Collaborated with AI engineering teams to build data-driven automation models using Python and ML frameworks, enabling intelligent decision-making for infrastructure provisioning
- •Developed data pipelines integrated with Spark and AWS S3, optimizing preprocessing for high-performance AI workloads
- •Participated in Agile sprints, CI/CD pipeline optimization, and code reviews, ensuring risk-controlled, production-ready code aligned with enterprise data governance frameworks
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Temenos
Software Engineer
- •Resolved 95% of escalated banking issues within SLA, elevating customer satisfaction scores by 18% and reducing churn by 12% through proactive support and analytical troubleshooting
- •Improved backend performance by 25% through data structure optimization and algorithmic refinement for high-frequency transaction systems
- •Worked closely with global engineering teams to implement CI/CD pipelines, ensuring secure and reliable code delivery for financial applications
- •Conducted root-cause analytics on transactional failures to enhance system resilience, achieving 99.5% uptime across core platforms
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Featured Projects
Innovative solutions leveraging AI/ML, automation, and data science
Web-based AI fairness evaluation and bias detection platform enabling users to analyze datasets for ethical compliance using AIF360 library
- ✓Implemented Dockerized monitoring stack with Prometheus and Grafana achieving 99% system uptime
- ✓Reduced deployment and troubleshooting time by over 40%
- ✓Automated end-to-end CI/CD deployment cutting environment setup from hours to under 5 minutes
Built an automated workflow for AI-generated LinkedIn content using n8n, APIs, and image generation, reducing manual effort by 90%
- ✓Increased content consistency and posting frequency by 3x
- ✓Boosted audience reach and engagement rates by 40%
- ✓Streamlined content creation pipeline with AI integration
Built supervised ML models achieving 88.1% accuracy on sports analytics dataset with comprehensive feature engineering and data pipeline
- ✓Implemented Random Forest, SVM, Logistic Regression, and KNN models
- ✓Published conference paper on predictive insights in sports analytics
- ✓Engineered end-to-end data pipelines with advanced feature engineering
Technical Skills
Comprehensive expertise across modern technologies and frameworks
Programming Languages
Cloud & DevOps
ML/AI Frameworks
Databases
Frameworks & Tools
Development Tools
Core Concepts & Methodologies
Education
Building a strong foundation in AI/ML and Computer Science
University of Florida
Master of Science in Artificial Intelligence Systems
Relevant Coursework
Visvesvaraya Technological University
Bachelor of Technology in Computer Science and Engineering
Relevant Coursework
📄 Published Research
Prediction of IPL Match Outcome Using Machine Learning Techniques
Conference Paper • January 2021
Published a quantitative analysis model leveraging supervised learning algorithms for predictive insights in sports analytics and decision making.
View Publication →Let's Connect
I'm currently pursuing my Master's and open to internship opportunities, collaborations, and networking. Feel free to reach out!
Ready to Collaborate?
Whether you're looking for an intern, want to discuss AI/ML projects, or just want to connect, I'd love to hear from you!