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Hi, I'm Kasireddy Sunitha, an AI-ML Engineer with 9+ years of experience delivering production-grade ML systems. I design end-to-end ML pipelines and robust MLOps, with emphasis on compliance, security, and scalability across financial services, healthcare, and enterprise applications. I enjoy turning complex data into actionable insights, collaborating with traders, risk managers, clinicians, and engineers. Proficient in Python, PyTorch, TensorFlow, and a wide set of tools for data engineering, model governance, and cloud-native deployments, I build transparent, auditable AI systems that power fast, reliable decision-making.…Hi, I'm Kasireddy Sunitha, an AI-ML Engineer with 9+ years of experience delivering production-grade ML systems. I design end-to-end ML pipelines and robust MLOps, with emphasis on compliance, security, and scalability across financial services, healthcare, and enterprise applications. I enjoy turning complex data into actionable insights, collaborating with traders, risk managers, clinicians, and engineers. Proficient in Python, PyTorch, TensorFlow, and a wide set of tools for data engineering, model governance, and cloud-native deployments, I build transparent, auditable AI systems that power fast, reliable decision-making.

Kasireddy Sunitha

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

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Hi, I'm Kasireddy Sunitha, an AI-ML Engineer with 9+ years of experience delivering production-grade ML systems. I design end-to-end ML pipelines and robust MLOps, with emphasis on compliance, security, and scalability across financial services, healthcare, and enterprise applications. I enjoy turning complex data into actionable insights, collaborating with traders, risk managers, clinicians, and engineers. Proficient in Python, PyTorch, TensorFlow, and a wide set of tools for data engineering, model governance, and cloud-native deployments, I build transparent, auditable AI systems that power fast, reliable decision-making.…Hi, I'm Kasireddy Sunitha, an AI-ML Engineer with 9+ years of experience delivering production-grade ML systems. I design end-to-end ML pipelines and robust MLOps, with emphasis on compliance, security, and scalability across financial services, healthcare, and enterprise applications. I enjoy turning complex data into actionable insights, collaborating with traders, risk managers, clinicians, and engineers. Proficient in Python, PyTorch, TensorFlow, and a wide set of tools for data engineering, model governance, and cloud-native deployments, I build transparent, auditable AI systems that power fast, reliable decision-making.

Available to hire

Hi, I’m Kasireddy Sunitha, an AI-ML Engineer with 9+ years of experience delivering production-grade ML systems. I design end-to-end ML pipelines and robust MLOps, with emphasis on compliance, security, and scalability across financial services, healthcare, and enterprise applications.

I enjoy turning complex data into actionable insights, collaborating with traders, risk managers, clinicians, and engineers. Proficient in Python, PyTorch, TensorFlow, and a wide set of tools for data engineering, model governance, and cloud-native deployments, I build transparent, auditable AI systems that power fast, reliable decision-making.

Skills

Experience Level

Expert

Expert

Expert

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Expert

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Expert

Work Experience

AI-ML Engineer at Deutsche Bank

April 1, 2025 - Present

Architected and deployed predictive ML pipelines for multi-asset portfolios, integrating LSTM, GRU, and gradient-boosting models to produce intraday Value-at-Risk, Expected Shortfall, and liquidity stress forecasts. Built robust, end-to-end feature engineering frameworks, automated ML lifecycle with retraining pipelines, and scalable, low-latency inference APIs. Implemented model monitoring and drift detection, secured production endpoints with OAuth2 and secret management, and delivered observability dashboards (Prometheus, Azure Monitor) for risk management and regulatory reporting. Enabled sub-second risk scoring and auditable outputs aligned with SEC/Basel III standards.

ML Engineer at BNY Mellon

September 1, 2023 - March 1, 2025

Built end-to-end ML workflows for intraday time series and multi-asset portfolio risk modeling using LSTM/GRU and gradient boosting ensembles. Designed modular feature pipelines, standardized inputs for risk, VaR, anomaly detection, and automated drift detection with monitoring to ensure reliable risk scoring and regulatory reporting. Secured ML services with end-to-end encryption and secret management, and delivered reusable Python modules and dashboards for risk and compliance teams.

Data Scientist - NLP at McKinsey & Company

March 1, 2022 - August 1, 2023

Designed and deployed transformer-based NLP pipelines for intent detection and document tagging, achieving low-latency production in multi-domain client datasets. Optimized long-sequence training with mixed-precision, gradient checkpointing, and dynamic batching; refactored legacy LSTM pipelines to RoBERTa architectures enabling rapid deployment across client taxonomies. Implemented real-time NLP services with FastAPI and containerization; provided model explainability using attention visualization and LIME.

Data Scientist - NLP at Persistent Systems

March 1, 2018 - November 1, 2021

Built NER pipelines and sentiment analysis for healthcare and insurance domains, converting clinical texts to structured data using SpaCy, TF-IDF, Word2Vec, and domain-specific embeddings. Deployed Flask/NLP services and automated pipelines for data ingestion, preprocessing, and model evaluation; standardized text processing and improved cross-domain adaptability across client corpora.

Associate Data Scientist at Delhivery Tech

April 1, 2016 - February 1, 2018

Supported enterprise data warehouse design for insurance analytics; cleaned and integrated sales, policy, and claims data; built regression/classification models to predict policy retention and claim likelihood. Automated ETL workflows with SQL, Hive, Airflow; built Tableau dashboards to monitor key metrics and enabled scalable analytics across policies and claims data.