Professional Experience
ML Engineer – GenAI Systems
Jay Analytix, Canada
Contract - Remote
Jan 2025 – Present
- Architected next-gen multimodal GenAI chatbots and call automation solutions integrating Retrieval-Augmented Generation (RAG), hybrid LLM stacks, and real-time inference with Docker & Kubernetes orchestration, deployed for TD Bank, RBC, and Quest Diagnostics – enabling high-velocity support and AI-powered customer journeys at scale (sub-100ms latency, 1,000+ concurrent sessions, 99.2% uptime). Implemented Agile/Scrum workflows for rapid iteration.
- Applied QLoRA fine-tuning techniques to domain-specific large language models, orchestrating vector database retrieval, Kubernetes-based model serving, and automated agent architectures through CI/CD pipelines to drive significant accuracy improvements and ensure seamless, production-ready adoption of AI solutions for leading fintech and healthcare clients. Collaborated in Agile sprints with cross-functional teams.
- Built asynchronous microservices for rapid NLU/NLG in 150+ languages and developed auto-scaling endpoint monitoring with Prometheus and Grafana.
- Integrated real-time speech-to-text/speech synthesis APIs (Azure, ElevenLabs) for enhanced conversational experience.
- Introduced automated A/B testing pipelines for bot dialog strategies, increasing resolution rates by 13%.
ML Engineer – Healthcare AI
Atem, Japan/USA
Contract - Remote
Mar 2024 – Jan 2025
- Developed and deployed high-accuracy cancer detection models (97.7% ROC-AUC) for enterprise healthcare clients using Docker containerization and Kubernetes orchestration, improving early diagnosis and supporting clinical decision-making at scale. Implemented CI/CD pipelines for automated model retraining and validation.
- Designed automated ML pipelines and dashboards, reducing model deployment latency by 35% and delivering $2M+ in business impact through actionable healthcare analytics.
- Introduced SHAP/LIME model explainability for clinical transparency and compliance.
- Led the integration of synthetic data simulation (using GANs) to address class imbalance and enhance rare-cancer detection.
AI Finance Analyst
Hemil Joshi & Associates, India
On-site
May 2023 – Nov 2023
- Automated financial reporting workflows using Python and ETL processes, resulting in $180K revenue growth and saving 60+ hours per month. Optimized real-time analytics pipelines, enabling 45% faster decision support for global finance clients through AI/ML-driven insights.
- Developed NLP sentiment analysis models to analyze financial datasets and inform investment strategies for clients including JPMorgan Chase, Goldman Sachs, NJ Group, and RIL (Reliance Industries Limited).
- Built dashboard reporting solutions for C-level stakeholders with Power BI, supporting financial compliance and forecasting.
- Led time series forecasting models (ARIMA/Prophet) to improve revenue planning accuracy.
Data Analyst Intern
AaNeel Technology Solutions Pvt. Ltd., USA
On-site
Jan 2023 – Apr 2023
- Build ETL automation workflows with tools like Selenium, BeautifulSoup (BS4) and Power Query for healthcare datasets used by clients including UnitedHealth Group, CVS Health, and Kaiser Permanente, supporting downstream AI/ML model development.
- Automate BI dashboards and optimized analytics pipelines that improved clinical reporting and enabled 40% faster, AI-driven decision support for healthcare clients and stakeholders.
- Reduced manual reporting errors by implementing dynamic validation rules and modular pipeline design.
Python Data Science Intern
LogicArt Technologies
On-site
Jun 2022 – Dec 2022
- Build entire ETL with Python and Pandas, ensuring scalable data availability for machine learning initiatives.
- Improved model accuracy through semi-supervised learning and robust data validation for ML applications.
- Developed modular data cleaning modules, reducing data prep time for new ML projects.