Sai Prasanth Kaligotla
AI/ML Engineer | Specializing in Predictive Modeling, NLP, and Scalable ML Pipelines | AWS SageMaker | Python | Airflow | Power BI
- Role
- Ai Ml Engineer at Freddie Mac
- Location
- Arlington, TX, US
- LinkedIn followers
- 500 followers
About Sai Prasanth Kaligotla
AI/ML Engineer with 4+ years of experience designing and deploying production-grade…
Experience
Ai Ml Engineer
Feb 2025 — Present
Architected an end-to-end predictive analytics pipeline using Python, TensorFlow, and Snowflake, integrating Bloomberg, FactSet, and Refinitiv APIs and streamlining data orchestration with Apache Airflow, boosting model retraining agility by 85% and enabling continuous portfolio risk assessment in real time. • Engineered advanced gradient-boosting and LSTM forecasting models within the AWS S3–Lambda ecosystem, synthesizing macroeconomic and transaction signals to anticipate volatility exposure and optimize asset rebalancing efficiency by 32%, enhancing investment resilience and decision velocity. • Implemented an NLP-based sentiment intelligence framework leveraging Hugging Face Transformers and the OpenAI GPT API integrated with FactSet news feeds, extracting and quantifying market tone shifts to improve adverse-event detection accuracy by 28% and accelerate sector level insight generation. • Operationalized robust MLOps pipelines with Docker, Kubernetes, MLflow, and Evidently AI, automating drift monitoring and version control to increase model reproducibility and deployment reliability by 42% while ensuring compliance with Basel and IFRS 9 model governance standards. • Developed interactive explainable AI dashboards using Power BI and Plotly, integrating Bloomberg Terminal insights to visualize risk exposure nd sentiment correlations, reducing analyst review time by 70% and enabling proactive, data-driven risk mitigation strategies.
Education
Lendi Institute of Engineering and Technology (LIET)
Bachelor of Engineering - BE
2019 — 2023
The University of Texas at Arlington
Master of Science - MS
2023 — 2025
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