Nov 2022 – Jul 2025 · 2 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

• Responsible for leveraging Large Language Models (LLMs), prompt engineering, and fine-tuning techniques to develop innovative solutions across various industries. Key responsibilities include:
• >Designing and executing Generative AI projects
• >Implementing Retrieval-Augmented Generation (RAG) techniques
• >Optimizing model performance and scalability
• >Supporting sales teams with AI/ML proposals
• >Conducting technical interviews to assess AI/ML candidates

May 2022 – Jul 2025 · 3 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

Mar 2020 – May 2022 · 2 yrs 2 mos

• > Embarked on a focused self-study journey in Data Science, mastering advanced machine learning, deep learning, and data engineering concepts through over 1,000+ hours of online courses, hands-on projects, and in-depth research, applying skills in real-world problem-solving across various domains.
• > Conducted thorough research on machine learning methodologies, analyzing and evaluating 100+ academic papers and industry case studies, leading to optimized model selection strategies and practical applications in areas such as predictive analytics, anomaly detection, and NLP.
• > Automated reporting dashboards for tracking key performance indicators (KPIs), reducing manual reporting time by 60% and improving decision-making efficiency by 30% for business intelligence and performance tracking.
• > Conducted exploratory data analysis (EDA) on millions of application logs and user interaction data, identifying behavioral patterns and system inefficiencies, leading to a 20% improvement in user engagement and 15% reduction in application load times through optimized infrastructure tuning and UX enhancements.

May 2018 – May 2022 · 4 yrs

• > Worked on various API management products over AWS Cloud, orchestrating services with a serverless architecture, enabling scalability, cost-efficiency, and low-latency API interactions, reducing API response times by 40% and cutting infrastructure costs by 30%.
• > Designed and implemented enterprise applications on AWS, utilizing NodeJS and TypeScript, in conjunction with AWS-managed services, including Cognito, IAM, S3, SES, SNS, Lambda,
• and DynamoDB Streaming.
• > Led the end-to-end setup and deployment process through AWS CodeBuild and CodePipeline, implementing CI/CD pipelines that reduced deployment time by 70% and automated error detection, leading to faster releases and improved system reliability.

Jun 2016 – Apr 2018 · 1 yr 10 mos

• > Developed and managed API solutions utilizing AWS Cloud services and serverless architecture. Improved system scalability and reduced operational costs by 30% by adopting serverless architecture.
• > Engineered 5+ cloud-native applications using Node.js and TypeScript. Utilized AWS Cognito for authentication, IAM for access control, S3 for scalable storage, SES/SNS for automated notifications, and Lambda & DynamoDB Streaming for event-driven workflows.
• > Collaborated with cross-functional teams to align technical solutions with business requirements, ensuring scalability and security compliance.

May 2015 – Jun 2016 · 1 yr 1 mo

• Led technical efforts and served as project coordinator for a major UK bank, enhancing project efficiency and stakeholder engagement.
• Collaborated with stakeholders to model and document project goals, ensuring clear communication and timely meeting of deadlines.
• Contributed to preparation of impactful presentations for client and stakeholder meetings, facilitating productive discussions.
• Drafted comprehensive client reports under senior analysts' guidance, achieving 100% positive feedback for alignment with client objectives.

May 2013 – Apr 2015 · 1 yr 11 mos

• > Managed Change Request (CR) analysis and implementation, successfully deploying 15+ major changes and 50+ minor enhancements with zero production rollbacks.
• > Planned, reviewed, and executed Business-As-Usual (BAU) changes, reducing issue resolution time by 30% through structured workflows.
• > Collaborated with back-office and middle-office users, resolving 95% of operational issues within agreed SLAs, ensuring uninterrupted banking operations.
• > Led weekly stakeholder meetings with high-profile customers and business teams to ensure alignment on system performance and upcoming enhancements.
• > Ensured 99.98% system uptime, focusing on delivering a ‘No Impact’ service to the bank and its customers.
• > Improved system stability and functionality, reducing production incidents by 40% over 2 years.
• > Enhanced team productivity by 25% by implementing task automation and optimizing development workflows.

Jan 2011 – Apr 2013 · 2 yrs 3 mos

• > Developed multiple banking applications, ensuring 99.99% uptime and reducing transaction processing time by 20% using Java/J2EE and Hibernate.
• > Implemented optimized deployment methodologies with Apache Tomcat, improving application delivery speed by 30% and reducing downtime during updates.
• > Conducted impact analysis on 50+ Change Requests (CRs), identifying dependencies and mitigating potential risks to prevent system failures.
• > Developed Unix Shell and Perl scripts to automate repetitive tasks, reducing manual effort by 40% and improving development workflow efficiency.