Available to hire
I am an AI Engineer with 4 years of experience specializing in developing and deploying machine learning systems across finance, cybersecurity, and enterprise AI sectors. My expertise includes orchestrating AI pipelines, developing generative AI systems, and streamlining data pipelines to improve business outcomes, especially for Fortune 500 clients.
I am skilled in architecting advanced AI and ML solutions such as large language model fine-tuning, retrieval-augmented generation, and MLOps automation. I enjoy working in cloud-native setups and integrating cutting-edge AI frameworks to deliver scalable and efficient AI-powered products.
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Work Experience
AI Engineer at Fidelity Investments
August 1, 2024 - PresentBuilt GenAI pipelines automating workflows for the Chief Investment Office, improving portfolio optimization, real-time market intelligence, and compliance monitoring serving over 500 investment professionals. Developed predictive portfolio allocation models enhancing risk-adjusted asset allocation by 12%. Orchestrated robust data pipelines and feature engineering frameworks supporting ML and LLM agents. Executed multi-agent orchestration reducing manual memo creation time by 50%. Optimized large language models using advanced fine-tuning techniques reducing GPU memory use by 60%. Established Retrieval-Augmented Generation pipelines and deployed LLM and ML models with CI/CD and MLOps infrastructures ensuring rapid deployments and consistent model quality evaluation.
AI Engineer at Intersources
August 1, 2024 - August 26, 2025Engineered a cybersecurity auditing assistant enabling autonomous resolution of 60% of compliance queries through conversational AI. Developed a hybrid ML-LLM architecture reducing audit preparation time by 34% and external audit findings by 57%. Built data pipelines automating feature generation from security logs and scans. Implemented evaluation metrics improving citation correctness and reducing costs. Deployed low-latency API endpoints for real-time auditor access and monitored model lifecycle with MLflow and Grafana, triggering automated retraining.
AI/ML Engineer at Capgemini
December 1, 2022 - August 26, 2025Delivered a fraud detection system that reduced false positives by 31% using deep neural networks. Addressed severe class imbalance with SMOTE and enhanced recall for financial institutions. Created NLP pipelines extracting risk signals and sentiment from KYC documents, improving monitoring efficiency by 30%. Containerized ML inference services with Docker and SageMaker, accelerating deployments and enabling A/B testing. Integrated customer behavior scoring and deployed APIs achieving sub-200ms latency. Utilized Optuna for hyperparameter tuning improving F1 score by 10%. Developed explainable AI dashboards and standardized ML lifecycle practices, cutting manual work by 25%. Validated models using rigorous statistical testing ensuring regulatory compliance.
Education
Master of Science at Arizona State University
January 11, 2030 - August 26, 2025Bachelor of Engineering at Mumbai University
January 11, 2030 - August 26, 2025Qualifications
Industry Experience
Financial Services, Software & Internet, Professional Services
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Expert
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