I'm an AI/ML Engineer with over four years of experience designing and deploying production-grade AI solutions in enterprise environments. My expertise includes Generative AI, LLMs, agentic AI, RAG pipelines, and scalable backend systems using Python, LangChain, LangGraph, Go, AWS, GCP, Docker, and Kubernetes. At State Street, I've built AI agents that automate complex financial workflows, integrate with enterprise systems, and improve operational efficiency while meeting strict security and compliance requirements. What sets me apart is my ability to take AI solutions from concept to production—combining strong software engineering fundamentals with practical machine learning expertise to build reliable, scalable, and business-focused AI applications.

Pranathi Guntaka

I'm an AI/ML Engineer with over four years of experience designing and deploying production-grade AI solutions in enterprise environments. My expertise includes Generative AI, LLMs, agentic AI, RAG pipelines, and scalable backend systems using Python, LangChain, LangGraph, Go, AWS, GCP, Docker, and Kubernetes. At State Street, I've built AI agents that automate complex financial workflows, integrate with enterprise systems, and improve operational efficiency while meeting strict security and compliance requirements. What sets me apart is my ability to take AI solutions from concept to production—combining strong software engineering fundamentals with practical machine learning expertise to build reliable, scalable, and business-focused AI applications.

Available to hire

I’m an AI/ML Engineer with over four years of experience designing and deploying production-grade AI solutions in enterprise environments. My expertise includes Generative AI, LLMs, agentic AI, RAG pipelines, and scalable backend systems using Python, LangChain, LangGraph, Go, AWS, GCP, Docker, and Kubernetes. At State Street, I’ve built AI agents that automate complex financial workflows, integrate with enterprise systems, and improve operational efficiency while meeting strict security and compliance requirements. What sets me apart is my ability to take AI solutions from concept to production—combining strong software engineering fundamentals with practical machine learning expertise to build reliable, scalable, and business-focused AI applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

AI/ML Engineer at State Street
September 1, 2023 - Present
Architected production-grade AI agentic systems for high-stakes financial workflows, reducing manual processing time by 40% and improving speed and reliability. Designed multi-turn reasoning agents integrating with internal banking tools via gRPC, delivering 30% faster verification and improved failure recovery. Deployed high-precision RAG pipelines over sensitive datasets for 50,000+ users, cutting manual research by 35%. Built LLM-powered features to process over 5TB of unstructured data and implemented LangChain-based orchestration with performance tracking across 5+ global lines, boosting development efficiency by 25%. Achieved 100ms latency targets for AI features while maintaining regulatory compliance.
Jr. AI/ML Engineer at TopHat Software Technologies
July 1, 2020 - August 1, 2022
Engineered high-performance backend systems using Python and Go with Apache Kafka to support scalable ML pipelines (1M+ daily requests). Optimized large-scale SQL queries and distributed schemas to boost throughput by 25%. Automated data transformation and feature engineering pipelines, reducing manual effort by 40% and reclaiming 60+ hours of monthly bandwidth. Contributed to production-grade ML engineering standards, implemented AI safety guardrails for production LLMs, and supported 99.9% system uptime with robust monitoring. Applied RAG pipelines on AWS and Kubernetes to improve data access efficiency by 30% while ensuring auditability.

Education

Master of Science in Data Science at New Jersey Institute of Technology
January 11, 2030 - April 9, 2026
Master of Science in Data Science at New Jersey Institute of Technology
January 11, 2030 - July 13, 2026

Qualifications

IBM Introduction to Data Analytics
January 11, 2030 - April 9, 2026
IBM Introduction to Data Analytics
January 11, 2030 - July 13, 2026

Industry Experience

Financial Services, Software & Internet, Professional Services, Healthcare