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I'm a Senior AI-Focused Full Stack Engineer with over a decade delivering large-scale AI solutions across financial services, healthcare, and e-commerce. I’ve led initiatives in fraud detection, claims automation, risk modeling, and document intelligence, building systems that process millions of transactions with measurable gains in accuracy and efficiency. I thrive on cutting-edge AI to reduce risk, improve customer trust, and create tangible business impact in complex financial environments.…I'm a Senior AI-Focused Full Stack Engineer with over a decade delivering large-scale AI solutions across financial services, healthcare, and e-commerce. I’ve led initiatives in fraud detection, claims automation, risk modeling, and document intelligence, building systems that process millions of transactions with measurable gains in accuracy and efficiency. I thrive on cutting-edge AI to reduce risk, improve customer trust, and create tangible business impact in complex financial environments.

Harsh Dave

Full Stack Developer, AI Engineer, Data Scientist, +4

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I'm a Senior AI-Focused Full Stack Engineer with over a decade delivering large-scale AI solutions across financial services, healthcare, and e-commerce. I’ve led initiatives in fraud detection, claims automation, risk modeling, and document intelligence, building systems that process millions of transactions with measurable gains in accuracy and efficiency. I thrive on cutting-edge AI to reduce risk, improve customer trust, and create tangible business impact in complex financial environments.…I'm a Senior AI-Focused Full Stack Engineer with over a decade delivering large-scale AI solutions across financial services, healthcare, and e-commerce. I’ve led initiatives in fraud detection, claims automation, risk modeling, and document intelligence, building systems that process millions of transactions with measurable gains in accuracy and efficiency. I thrive on cutting-edge AI to reduce risk, improve customer trust, and create tangible business impact in complex financial environments.

Available to hire

I’m a Senior AI-Focused Full Stack Engineer with over a decade delivering large-scale AI solutions across financial services, healthcare, and e-commerce. I’ve led initiatives in fraud detection, claims automation, risk modeling, and document intelligence, building systems that process millions of transactions with measurable gains in accuracy and efficiency.

I thrive on cutting-edge AI to reduce risk, improve customer trust, and create tangible business impact in complex financial environments.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Expert

Expert

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Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Language

English

Fluent

Work Experience

Senior AI/Deep Learning Engineer at Cognizant

January 1, 2020 - Present

Led integration of LLMs with OpenAI APIs to streamline customer and agent workflows, reducing manual resolution time by 60%. Built AI-driven platforms for claims review and transaction processing, achieving 94% accuracy in extracting codes, coverage details, and financial rules. Scaled fraud detection models across millions of transactions, reducing false positives by 25%. Designed document intelligence solutions parsing credit reports, loan applications, and compliance filings, shortening preparation cycles by 35%. Directed predictive risk pipelines using PyTorch, Spark, and Databricks, enhancing portfolio risk management. Piloted GenAI POCs for fine-tuning and quantization to optimize latency-critical finance use cases. Implemented real-time AI monitoring with anomaly detection and explainability, ensuring regulator confidence. Enforced model governance with MLflow and DVC for auditable retraining. Deployed AI services via FastAPI microservices orchestrated with Kubernetes (Azure AKS

Machine Learning Engineer at Tempus AI

December 1, 2019 - September 23, 2025

Built oncology data platforms integrating genomic, imaging, and clinical data to provide sharper treatment insights. Automated complex ETL pipelines with Terraform, CloudFormation, and Airflow, reducing data preparation time from days to hours. Strengthened model validation with 95% coverage and cut predictive errors by ~70% via custom test harnesses. Designed real-time risk stratification models with TensorFlow and PyTorch to inform treatment decisions. Delivered annotation tools to accelerate radiology and pathology reviews; deployed AI microservices with FastAPI and PyTorch for biomarker discovery and treatment response modeling. Implemented real-time AI monitoring with drift detection and explainability; ensured HIPAA-compliant security with OAuth2.0 and JWT. Optimized models with quantization for sub-50ms inference in genomics and imaging. Built dashboards in React with SHAP and saliency maps for clinicians and auditors. Streamlined CI/CD with GitHub Actions, Terraform, and Docker

Full Stack AI/ML Engineer at AddStructure

June 1, 2017 - September 23, 2025

Created AI-powered adaptive learning style recommendations analyzing real-time shopper behavior, boosting product conversions by 28%. Built NLP models to classify and score customer reviews, cutting moderation time by 45% and deployed scalable microservices on AWS handling 500,000+ concurrent sessions. Shaped a multi-year roadmap for AI-driven personalization and fraud prevention in digital payments with secure microservices and Ethereum-based security tokens. Implemented active feedback tools for merchandisers to flag recommendation errors, improving retraining cycles for pricing and promotions. Modernized five legacy apps with React, Java, and Node.js, achieving a 40% performance lift during seasonal spikes. Engineered microservices processing nearly $500M in transactions with low-latency APIs. Extended platform to 400K+ active users by integrating Node.js/Nest.js APIs into cart, checkout, and payments. Ensured governance and compliance through audits. Delivered responsive UIs with R

Software Engineer at DataScope Analytics

May 1, 2015 - September 23, 2025

Implemented data pipelines and optimization strategies reducing processing times by 50% and cutting model deployment errors by 35%. Led redesign of client analytics products using React, Java, C#, and .NET for faster, interactive dashboards. Partnered with mobile teams to extend analytics tools to Android, improving platform consistency by 25% and client adoption by 18%. Developed scalable APIs and CRM integrations to improve data interoperability. Built predictive analytics tools enabling clients to track behaviors and optimize strategies.

Senior AI/Deep Learning Engineer at Cognizant

January 1, 2020 - Present

Led the integration of LLMs with OpenAI APIs to streamline client and agent workflows, achieving a 60% reduction in manual resolution time. Engineered AI-driven platforms for claims review and transaction processing, automating extraction of codes, coverage details, and financial rules with 94% accuracy. Scaled fraud-detection models across millions of transactions, cutting false positives by 25%. Designed document intelligence solutions that parsed credit reports, loan applications, and compliance filings, shortening preparation cycles by 35%. Directed predictive risk pipelines using PyTorch, Spark, and Databricks, strengthening portfolio risk management and regulatory oversight. Instituted real-time AI monitoring with anomaly detection and explainability. Enforced model governance with MLflow and DVC, making retraining audit-ready. Deployed AI services via FastAPI microservices on Kubernetes (Azure AKS, GCP GKE) for high availability across enterprise workloads. Enhanced revenue with

AI Machine Learning Engineer at Tempus

December 1, 2019 - September 23, 2025

Built oncology data platforms integrating genomic, imaging, and clinical records to provide sharper insights for patient care. Automated complex ETL pipelines with Terraform, CloudFormation, and Airflow, accelerating data readiness from days to hours. Strengthened model validation with 95% coverage and reduced predictive errors by ~70% via custom test harnesses. Deployed real-time risk stratification models with TensorFlow and PyTorch, directly improving treatment decision accuracy. Delivered annotation applications to accelerate radiology and pathology reviews, shrinking report turnaround times. Deployed AI microservices for biomarker discovery, variant classification, and treatment response modeling; established real-time drift monitoring and HIPAA-compliant security through OAuth2.0 and JWT.

Full Stack AI/ML Engineer at AddStructure

June 1, 2017 - September 23, 2025

Created AI-powered adaptive learning style recommendation engines analyzing real-time shopper behavior, boosting product conversions by 28%. Built NLP models to classify and score customer reviews, reducing moderation time by 45% and deployed scalable microservices on AWS handling 500,000+ concurrent sessions. Shaped a multi-year roadmap for AI-driven personalization and fraud prevention in digital payments, with secure microservices integrated with Ethereum-based assets. Engineered Ethereum-based security tokens for immutable digital receipts. Modernized five legacy applications using React, Java, and Node.js, delivering a 40% performance lift during seasonal spikes and enabling secure, scalable e-commerce processing for nearly $500M in transactions. Delivered responsive UIs with React, React Native, and Redux.

Software Engineer at DataScope Analytics

May 1, 2015 - September 23, 2025

Implemented data pipelines and performance optimizations, reducing processing times by 50% and cutting model deployment errors by 35%. Led redesign of client-facing analytics products using React, Java, C#, and .NET to deliver faster, more interactive dashboards. Partnered with mobile teams to extend analytics tools to Android via React Native and Ionic, improving platform consistency by 25% and boosting client adoption by 18%. Developed and optimized customer analytics solutions supporting multi-channel engagement platforms, enabling better decision-making for enterprise clients. Integrated real-time analytics with cloud-based data platforms for on-demand insights, and built scalable APIs and CRM integrations to improve data interoperability. Created predictive analytics tools for tracking behaviors and optimizing strategies, and designed intuitive dashboards and real-time reporting interfaces to increase transparency of engagement metrics.