Available to hire
I am a passionate AI Consultant and Data Scientist with extensive experience in designing and implementing AI-driven solutions, working with large language models, and optimizing cloud infrastructure for improved performance and cost-efficiency. With a strong background in computer science and information systems, I thrive in collaborative environments where I can leverage cutting-edge technologies to solve complex business problems.
Throughout my career, I’ve led projects ranging from financial AI agent workflows to real-time recommendation systems and advanced monitoring dashboards. I enjoy continuously learning about new AI and machine learning innovations, contributing to enterprise-grade AI applications, and driving strategic adoption of AI within organizations to maximize value and improve efficiency.
Work Experience
AI Consultant at ScoreLabs AI
February 1, 2025 - PresentArchitected end-to-end AI agent workflows for financial analysis using CrewAI and LangChain, deploying models on Azure Foundry and AWS SageMaker with Docker, improving computational efficiency by 65%. Optimized LLM inference and reduced cloud serving costs by 40%. Led client-facing POCs converting pilots into production with LangSmith and observability tools, enhancing user engagement by 18%. Engineered RAG pipelines processing 500TB of data, improving information retrieval by 75%. Collaborated with engineers to integrate AI solutions, increasing strategic AI adoption by 30% and reducing integration friction by 40%.
Data Scientist at EMERGYS
December 1, 2024 - August 26, 2025Developed Gen AI-driven RAG supplier search recommendation and Text2SQL systems using GPT-3.5 and Bing API, achieving 20% cost savings. Built containerized CI/CD pipelines with Docker and Azure OpenAI for real-time query systems with 95% accuracy. Created AI chatbots automating supplier news updates, reducing operational risk by 30%. Delivered Explainable AI dashboards integrating anomaly detection and MLOps, improving fraud detection and risk identification by 30%.
Data Scientist at Archit Enterprises
June 1, 2022 - August 26, 2025Processed and transformed unstructured datasets using Python and BigQuery, increasing project efficiency by 25%. Managed ETL pipelines with PySpark, AWS SageMaker, and Glue, reducing RMSE by 30% and cutting model deployment time by 50%. Designed Power BI dashboards to track KPIs and customer behavior, accelerating data-driven decisions by 40%.
AI Consultant at ScoreLabs AI
February 1, 2025 - PresentArchitected end-to-end AI agent workflows for financial analysis using CrewAI and LangChain with OpenAI API and open-source LLMs, deployed on Azure Foundry and AWS SageMaker with Docker containerization and memory optimization. Improved computational efficiency by 65% and reduced cloud serving costs by 40% through model optimization techniques like quantization and dynamic GPU/CPU routing. Led customer-facing proofs of concept converting pilots to production systems, enhancing user engagement by 18%. Engineered retrieval-augmented generation pipelines processing over 500TB of data, improving information retrieval by 75% and integrated AI solutions within enterprise platforms, increasing strategic AI adoption by 30%.
Data Scientist at EMERGYS
December 1, 2024 - August 26, 2025Pioneered generative AI-driven real-time supplier search recommendation system and Text2SQL leveraging GPT-3.5 and Bing API, achieving 20% annual cost savings. Containerized CI/CD pipelines and developed real-time query systems using Azure OpenAI, Databricks, and FAISS vector database, optimizing over 10,000 queries with 95% accuracy. Led development of AI chatbot with RESTful APIs, NLP, and multi-agent architectures, reducing operational risk by 30%. Delivered explainable AI dashboards integrating anomaly detection models with Random Forest and XGBoost, improving fraud detection and risk identification by 30%.
Data Scientist at Archit Enterprises
June 1, 2022 - August 26, 2025Handled preprocessing and transformation of unstructured datasets using statistical modeling techniques including profiling, classification, and clustering. Managed ETL pipelines with PySpark, AWS SageMaker, and AWS Glue, reducing RMSE by 30% for time series and predictive models and halving deployment time. Designed Power BI dashboards tracking KPIs and customer behavior, enabling faster data-driven decisions and improving customer engagement by 40%.
Education
Master of Science in Information Systems at Northeastern University
August 1, 2022 - December 1, 2024Bachelor of Engineering in Computer Science at University of Mumbai
August 1, 2018 - May 1, 2022Master of Science in Information Systems at Northeastern University
August 1, 2022 - December 1, 2024Bachelor of Engineering in Computer Science at University of Mumbai
August 1, 2018 - May 1, 2022Qualifications
Perplexity Business AI Fellowship
January 11, 2030 - August 26, 2025Perplexity Business AI Fellowship
January 11, 2030 - August 26, 2025Industry Experience
Financial Services, Software & Internet, Professional Services, Retail, Transportation & Logistics, Media & Entertainment
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