I am a passionate AI Engineer with experience in building innovative decision-automation platforms. I thrive on transforming complex problems into efficient solutions that make a significant impact. My background includes extensive work in machine learning, software development, and a commitment to continuous learning and improvement. I enjoy collaborating with teams to drive projects forward and enhance user experiences. My journey in technology has been fueled by curiosity and a dedication to pushing boundaries in the field.

Pranav Thorat

I am a passionate AI Engineer with experience in building innovative decision-automation platforms. I thrive on transforming complex problems into efficient solutions that make a significant impact. My background includes extensive work in machine learning, software development, and a commitment to continuous learning and improvement. I enjoy collaborating with teams to drive projects forward and enhance user experiences. My journey in technology has been fueled by curiosity and a dedication to pushing boundaries in the field.

Available to hire

I am a passionate AI Engineer with experience in building innovative decision-automation platforms. I thrive on transforming complex problems into efficient solutions that make a significant impact. My background includes extensive work in machine learning, software development, and a commitment to continuous learning and improvement. I enjoy collaborating with teams to drive projects forward and enhance user experiences. My journey in technology has been fueled by curiosity and a dedication to pushing boundaries in the field.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

Javanese
Advanced
Afar
Intermediate
English
Advanced
Hindi
Advanced

Work Experience

Machine Learning Engineer at NYU Information Technology
June 1, 2024 - Present
Developed a model for student dropout risk processing over 10 million enrollment records, engineered and refined over 100 features using PCA and autoencoder dimensionality reduction, built an ensemble model with XGBoost, logistic regression, and deep learning improving predictive accuracy by 20%, and optimized hyperparameters using Bayesian methods. Built and deployed a domain-specific retrieval augmented generation engine using LangChain and FAISS integrated with LoRA-tuned Hugging Face Transformers for NYU courseware, deployed on Kubernetes with Airflow and MLflow ensuring low latency and increased accuracy by 25%.
Software Developer (Machine Learning & Data) at Barclays
June 30, 2023 - July 18, 2025
Contributed to an AI-driven payment authorization platform delivering sub-millisecond fraud scoring on 65K transactions per second using bidirectional GRU, gradient-boosted trees, and elastic-net rules. Managed a real-time feature store and Kubernetes micro-service mesh, achieving significant fraud-loss reduction and false positive cut. Handled model governance including SHAP explainability and drift alarms ensuring PCI-DSS & GDPR compliance. Accelerated backend development for reconciliation software, optimizing SQL to reduce manual L1 team efforts, and improved build and release processes using CI/CD tools in an Agile environment.
Storage Automation Engineer - File Services at Barclays
February 28, 2021 - July 18, 2025
Enhanced Python automation scripts for performance monitoring and provisioning in distributed storage cluster, reducing system admin tasks by 30%. Improved storage deployment workflows using Infrastructure as Code (Ansible, Terraform). Integrated CI/CD pipelines with Jenkins and GitLab automating deployment and configuration updates, ensuring consistency and reducing deployment time.
Software Engineer (full stack developer : frontend & backend) at miniOrange Inc.
November 30, 2021 - July 18, 2025
Developed Single Sign-On products on .NET Core and ASP.NET framework implementing SSO protocols such as SAML, OAuth, and OpenID Connect. Delivered continuous product enhancements and technical innovations, increasing .NET product revenue by 50% in six months. Single-handedly developed and released a SAML SSO plugin for the nopCommerce platform and was offered product ownership.
Machine Learning Engineer— MLOps, Deep learning, Pytorch, predictive analytics (part-time) at NYU Information Technology
June 1, 2024 - Present
Developed a student dropout risk model processing 10M+ enrollment records using Snowpark and Snowflake. Engineered 100+ features with PCA and autoencoder dimensionality reduction. Built an ensemble model combining XGBoost, logistic regression, and deep learning with 20% improved accuracy. Optimized hyperparameters via Bayesian optimization and ensured interpretability with SHAP values, increasing student retention rates by 15%. Created a domain-specific RAG engine for NYU courseware utilizing LangChain, FAISS, and LoRA-tuned Transformers. Deployed AI Q&A microservice on Kubernetes with Airflow and MLflow for versioned training and drift retriggers, achieving 25% accuracy lift at 300 ms p99 latency.
Software Developer (Machine Learning & Data) — GRT’s AI & Innovation Team at Barclays
June 30, 2023 - July 18, 2025
Assisted rollout of AI-driven Advanced Authorization payment platform delivering sub-millisecond fraud-risk scoring at 65 K tx/s using ensembles of GRU networks, gradient-boosted trees, and elastic-net rules distilled to ONNX for CPU inference. Managed real-time feature store with 500+ features and Kubernetes micro-service mesh with Istio mTLS, achieving >30 basis points fraud-loss reduction and 60% false positive cut. Drove model-risk governance including SHAP explainability, drift alarms, and compliance (PCI-DSS, GDPR). Accelerated backend development of Match Monitor 4 reconciliation software optimizing SQL scripts, reducing manual efforts by 20%, using C#, .NET, SQL Server, and CI/CD tools.
Storage Automation Engineer - File Services— IT Infrastructure, DevOps at Barclays
February 28, 2021 - July 18, 2025
Advanced Python scripts for performance monitoring, provisioning, and log analysis in distributed storage clusters, reducing system admin tasks by 30%. Enhanced storage deployment workflows with Infrastructure as Code using Ansible and Terraform. Integrated CI/CD pipelines using Jenkins and GitLab to automate deployments and monitoring, ensuring consistency and reducing deployment time.
Software Engineer (full stack developer : frontend & backend) - Identity & Access Management at miniOrange Inc.
November 30, 2021 - July 18, 2025
Engineered Single Sign-On products built on .NET Core and ASP.NET (MVC and Web Forms) implementing SSO protocols SAML, OAuth, and OpenID Connect. Delivered feature additions, plugin updates, debugging and seamless production deployment. Developed a SAML SSO plugin for nopCommerce e-commerce platform from scratch, leading to product ownership offer. Accelerated revenue growth by 50% over six months.
AI Engineer at Hextropian Systems Inc.
September 1, 2025 - November 24, 2025
Built and deployed a neuro-symbolic AI decision-automation platform that automates compliance, cybersecurity, and operational workflows, cutting deviation response times by 80%.
Machine Learning Engineer at NYU Information Technology
May 1, 2025 - May 1, 2025
Developed a dropout risk model processing over 10M records, improving retention by 15% and creating a user interface that reduced help-desk tickets.
Software Developer (Machine Learning & Data) at Barclays
June 1, 2023 - June 1, 2023
Designed a production fraud-risk ensemble model that significantly reduced fraud-loss while optimizing reconciliation software to minimize manual efforts.
Storage Automation Engineer – File Services at Barclays
February 1, 2021 - February 1, 2021
Advanced automation and CI/CD pipelines for storage infrastructure changes, achieving a 30% reduction in system administration tasks.
Software Engineer (full stack developer) at miniOrange Inc.
November 1, 2021 - November 1, 2021
Engineered SSO products using .NET Core, driving notable revenue growth and delivering product features and updates.

Education

Master of Science at New York University, Courant Institute of Mathematical Sciences
September 1, 2023 - May 31, 2025
Bachelor’s degree at Maharashtra Institute of Technology, Pune India (affiliated to Pune University)
July 1, 2015 - May 31, 2019
Master of Science at New York University, Courant Institute of Mathematical Sciences
September 1, 2023 - May 31, 2025
Bachelor’s degree at Maharashtra Institute of Technology, Pune India (affiliated to Pune University)
July 1, 2015 - May 31, 2019
Master of Science in Computer Science at New York University, Courant Institute of Mathematical Sciences
September 1, 2023 - May 1, 2025
Bachelor’s degree in Computer Engineering at Maharashtra Institute of Technology
July 1, 2015 - May 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Education, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more