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I am an AI/ML Engineer with 3+ years of experience designing and deploying computer vision and NLP solutions in fintech. I hold a Master of Science in Computer Science from the University of Massachusetts Lowell, and I’m AWS Certified. I thrive on building scalable ML pipelines, collaborating with cross-functional teams, and applying generative AI techniques to real-world business challenges, from fraud detection to document intelligence and risk scoring.…I am an AI/ML Engineer with 3+ years of experience designing and deploying computer vision and NLP solutions in fintech. I hold a Master of Science in Computer Science from the University of Massachusetts Lowell, and I’m AWS Certified. I thrive on building scalable ML pipelines, collaborating with cross-functional teams, and applying generative AI techniques to real-world business challenges, from fraud detection to document intelligence and risk scoring.

Pravallika Nomula

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI/ML Engineer with 3+ years of experience designing and deploying computer vision and NLP solutions in fintech. I hold a Master of Science in Computer Science from the University of Massachusetts Lowell, and I’m AWS Certified. I thrive on building scalable ML pipelines, collaborating with cross-functional teams, and applying generative AI techniques to real-world business challenges, from fraud detection to document intelligence and risk scoring.…I am an AI/ML Engineer with 3+ years of experience designing and deploying computer vision and NLP solutions in fintech. I hold a Master of Science in Computer Science from the University of Massachusetts Lowell, and I’m AWS Certified. I thrive on building scalable ML pipelines, collaborating with cross-functional teams, and applying generative AI techniques to real-world business challenges, from fraud detection to document intelligence and risk scoring.

Available to hire

I am an AI/ML Engineer with 3+ years of experience designing and deploying computer vision and NLP solutions in fintech. I hold a Master of Science in Computer Science from the University of Massachusetts Lowell, and I’m AWS Certified.

I thrive on building scalable ML pipelines, collaborating with cross-functional teams, and applying generative AI techniques to real-world business challenges, from fraud detection to document intelligence and risk scoring.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at Rapid Finance

March 1, 2024 - Present

Fine-tuned YOLOv8 and Detectron2 models for document verification and fraud detection, improving predictive signal extraction for risk scoring by 18%. Developed a RAG-based document intelligence system using LangChain, FAISS, and GPT-4 to extract insights from 10K+ unstructured financial reports, reducing manual review time by 30%. Designed end-to-end MLOps pipelines on AWS SageMaker with GitHub Actions CI/CD, MLflow tracking, and automated model retraining – cutting deployment time by 25%. Containerized inference services with Docker and orchestrated on Amazon EKS, achieving 99.9% availability for real-time fraud scoring APIs. Implemented model drift detection using Evidently AI and Grafana, triggering retraining jobs that maintained >99% SLA compliance. Partnered with quantitative researchers to integrate ML features into proprietary trading pipelines, contributing to alpha generation strategies. Mentored two associate ML engineers on experiment tracking and code review practices,

AI/ML Engineer at Razorpay

June 1, 2022 - July 1, 2023

Designed image preprocessing and augmentation pipelines for payment document fraud detection, improving model training efficiency by 30%. Fine-tuned CNN (ResNet, EfficientNet) and transformer-based (Swin Transformer) classifiers, achieving 95% sensitivity / 89% specificity on production validation sets. Automated annotation workflows with OpenCV and Label Studio, reducing manual labeling effort by 15 hours/week. Conducted hyperparameter optimization using Optuna, reducing training time by 22% while maintaining accuracy. Built a PostgreSQL database with optimized indexing to store metadata and predictions, accelerating query retrieval by 40%. Developed interactive Plotly Dash dashboards to communicate model insights to compliance and product teams, supporting regulatory audits. Piloted a LayoutLM-based PoC for key-information extraction from invoices, demonstrating a 20% potential speed-up in document processing. Authored comprehensive documentation for data pipelines, model architectur