Available to hire
Hi, I’m Rishitha Reddy Sunkireddy, a dedicated AI/ML Engineer who translates data into actionable insights and scalable AI solutions. I design cloud-native, GenAI-powered systems across financial services, technology, automotive/industrial AI, and risk analytics to improve decision making, automate workflows, and drive business impact.
I thrive in cross-functional teams, enjoy turning ideas into robust ML pipelines, and am passionate about responsible AI, deployment automation, and aligning technical delivery with strategic outcomes.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
AI/ML Engineer at State Street
August 1, 2024 - November 26, 2025Managed AI/ML-driven financial technology projects using Agile methodologies, ensuring on-time delivery, cross-functional collaboration, and measurable improvements in client satisfaction and portfolio performance. Developed and trained predictive AI/ML models in AWS SageMaker, integrating LangChain Chains and Agents, LLMs (GPT-3.5/4, Claude), and advanced prompt engineering to automate trade settlement scheduling and exception management, improving operational efficiency by 35%. Leveraged open-source routing APIs and LangChain APIs to map client feedback and transaction queries to resolution workflows using embedding similarity; implemented LLM-powered clustering algorithms to group recurring transaction anomalies, reducing manual intervention by 30%. Led the development of an AI-driven compliance monitoring initiative, applying SageMaker, Redshift, and LangChain RAG pipelines to predict anomalies in trade compliance and liquidity reporting; the solution is currently under review for
AI/ML Engineer at Mphasis
November 1, 2023 - November 1, 2023Designed and implemented deep learning models (CNNs, RNNs, LSTMs, Transformers) for anomaly detection, customer behavior prediction, and real-time personalization in e-commerce and IT service delivery, achieving 90%+ accuracy and reducing downtime for enterprise clients. Led Agile AI/ML initiatives, partnering with consulting and software engineering teams to integrate ML solutions into enterprise platforms, reducing data processing latency by 15% and accelerating release velocity. Built and optimized end-to-end ML pipelines (data collection, preprocessing, feature engineering, training, validation, deployment) using Python, TensorFlow, PyTorch, Scikit-learn, and Spark, reducing model training time by 20%. Fine-tuned LLMs (GPT, Hugging Face, LangChain) for automated log summarization, intelligent ticket classification, and customer support chatbots, enhancing service desk productivity and MTTR. Implemented LLM-based clustering and routing using LangChain and open-source APIs, reducing
AI/ML Engineer at State Street, USA
August 1, 2024 - November 26, 2025Managed AI/ML-driven fintech projects using Agile methodologies, ensuring on-time delivery and cross-functional collaboration. Developed predictive models in AWS SageMaker, integrating LangChain Chains and Agents, LLMs (GPT-3.5/4, Claude) to automate trade settlement scheduling and exception handling, boosting operational efficiency by 35%. Implemented embedding-based routing to map client feedback and queries to resolution workflows, and applied LLM-powered clustering to group recurring transaction anomalies, reducing manual interventions by 30%. Led an AI-driven compliance monitoring initiative using SageMaker, Redshift, and LangChain RAG pipelines to predict anomalies in trade compliance and liquidity reporting; currently under enterprise-wide review. Built LLM-powered NLP pipelines for document analysis and risk report summarization, deployed on AWS/GCP Kubernetes clusters for scalability.
AI/ML Engineer at Mphasis
January 1, 2020 - November 1, 2023Designed and implemented deep learning models (CNNs, RNNs, LSTMs, Transformers) for anomaly detection, customer behavior prediction, and real-time personalization in e-commerce and IT service delivery, achieving 90%+ accuracy and reducing downtime for enterprise clients. Led Agile AI/ML initiatives, partnering with consulting and software engineering teams to integrate ML solutions into enterprise platforms, reducing data processing latency by 15% and accelerating release velocity for global clients. Built and optimized end-to-end ML pipelines (data collection, preprocessing, feature engineering, training, validation, deployment) using Python, TensorFlow, PyTorch, Scikit-learn, and Spark, reducing model training time by 20%. Fine-tuned LLMs (GPT, Hugging Face, LangChain) for automated log summarization, intelligent ticket classification, and customer support chatbots, enhancing service desk productivity and reducing MTTR. Implemented LLM-based clustering and routing using LangChain and
AI/ML Engineer at Mphasis, India
January 1, 2020 - November 1, 2023Designed and implemented deep learning models (CNNs, RNNs, LSTMs, Transformers) for anomaly detection, customer behavior prediction, and real-time personalization in e-commerce and IT services, achieving 90%+ accuracy and reducing downtime for enterprise clients. Led Agile AI/ML initiatives, partnering with consulting and software engineering teams to integrate ML solutions into enterprise platforms, reducing data processing latency by 15% and accelerating release velocity. Built and optimized end-to-end ML pipelines (data collection, preprocessing, feature engineering, training, validation, deployment) using Python, TensorFlow, PyTorch, Scikit-learn, and Spark, reducing model training time by 20%. Fine-tuned LLMs (GPT, Hugging Face, LangChain) for automated log summarization, intelligent ticket classification, and customer support chatbots, enhancing service desk productivity and MTTR. Implemented LLM-based clustering and routing using LangChain and open-source APIs, reducing manual i
Education
Master of Science in Computer Science at University of Wisconsin-Milwaukee
January 11, 2030 - December 1, 2024Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham
January 11, 2030 - May 1, 2022Master of Science in Computer Science at University of Wisconsin-Milwaukee
January 11, 2030 - December 1, 2024Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham
January 11, 2030 - May 1, 2022Master of Science in Computer Science at University of Wisconsin-Milwaukee
January 11, 2030 - December 1, 2024Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, India
January 11, 2030 - May 1, 2022Master of Science in Computer Science at University of Wisconsin-Milwaukee
January 11, 2030 - December 1, 2024Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, India
January 11, 2030 - May 1, 2022Master of Science in Computer Science at University of Wisconsin-Milwaukee
January 11, 2030 - December 1, 2024Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham
January 11, 2030 - May 1, 2022Qualifications
Industry Experience
Software & Internet, Financial Services, Manufacturing, Professional Services, Other, Transportation & Logistics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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