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Sujanesh Jasti

@sujaneshjasti

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Senior Machine Learning Engineer delivering production-ready AI systems and MLOps solutions.

United States

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What I'm looking for

I seek roles where I can build and deploy production ML systems, drive MLOps best practices, work cross-functionally, and deliver measurable business impact in AI-first teams.

I am a Senior Machine Learning Engineer with 10+ years building, training, and deploying end-to-end ML systems across finance, retail, and enterprise platforms.

I specialize in deep learning, NLP/LLMs, recommendation models, and real-time fraud detection, and I focus on MLOps, scalable data pipelines, and model lifecycle automation to take prototypes to low-latency production.

My work includes designing recommendation and ranking models, embedding and semantic search pipelines, time-series forecasting, and anomaly detection, with measurable business impact such as improved prediction accuracy and reduced false positives.

I collaborate closely with data, product, and platform teams to integrate ML into production using AWS/GCP, PyTorch/TensorFlow, orchestrations like Kubernetes and CI/CD, and monitoring to ensure robust, auditable, and maintainable solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Mattress Firm

Sep 2024 - Present (1 year 4 months)

Designed and deployed end-to-end ML systems for retail and supply chain, building recommendation, NLP, embedding, and forecasting models that improved engagement and conversion by 25–30% and enabled low-latency production inference.

PyTorch Transformers Recommendation Systems Embeddings MLOps AWS

Machine Learning Engineer

Citi

Dec 2023 - Sep 2024 (9 months)

Developed and productionized fraud detection, risk scoring, and compliance ML models, improving fraud prediction accuracy by 25% and reducing false positives by 30% while ensuring regulatory explainability and auditability.

Fraud Detection Anomaly Detection NLP Model Evaluation Python MLOps Monitoring Data Pipelines

Senior Software Engineer ML

IBM / Kyndryl

Feb 2021 - Sep 2023 (2 years 7 months)

Built ML models and pipelines for predictive monitoring and anomaly detection on large-scale enterprise telemetry, reducing incidents via automated remediation and improving time-to-resolution.

Anomaly Detection Feature Extraction Model Evaluation Python Spark MLOps

Software Engineer ML

Infosys

Jul 2016 - Jan 2021 (4 years 6 months)

Transitioned into ML engineering by building data ingestion, cleaning, and feature engineering pipelines to produce reproducible training datasets and support supervised learning experiments.

Data Ingestion ETL Data Cleaning Batch Processing Labeling Python SQL

Full Stack Developer

Comcast

Jul 2016 - Feb 2018 (1 year 7 months)

Built backend services and data-driven features for consumer platforms supporting millions of users, improving system reliability and exposing telemetry for analytics.

JavaScript Angular Backend Development APIs Telemetry Performance Optimization Data Exposure

Junior Software Engineer

Catholic Health Initiatives

Sep 2014 - Jul 2016 (1 year 10 months)

Supported CHI Connect modernization across 100+ hospitals, improving UI performance by 25% and reducing maintenance overhead by 30% through Angular component development for clinical analytics.

Angular UI Development Performance Optimization Frontend Engineering JavaScript