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Hi, I'm Tharun Gangaraju, an AI/ML Engineer focused on financial market prediction and sentiment analysis. With 2+ years of experience, I enjoy building scalable AI models, optimizing performance, and collaborating with stakeholders in Agile environments. I'm proficient in Python, transformer architectures, and cloud services, and I've delivered solutions that improve accuracy and reliability. I'm passionate about cutting-edge tech, translating business needs into robust data products, and thriving in cross-functional teams across finance, software, and consulting projects.…Hi, I'm Tharun Gangaraju, an AI/ML Engineer focused on financial market prediction and sentiment analysis. With 2+ years of experience, I enjoy building scalable AI models, optimizing performance, and collaborating with stakeholders in Agile environments. I'm proficient in Python, transformer architectures, and cloud services, and I've delivered solutions that improve accuracy and reliability. I'm passionate about cutting-edge tech, translating business needs into robust data products, and thriving in cross-functional teams across finance, software, and consulting projects.

Tharun Gangaraju

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

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Hi, I'm Tharun Gangaraju, an AI/ML Engineer focused on financial market prediction and sentiment analysis. With 2+ years of experience, I enjoy building scalable AI models, optimizing performance, and collaborating with stakeholders in Agile environments. I'm proficient in Python, transformer architectures, and cloud services, and I've delivered solutions that improve accuracy and reliability. I'm passionate about cutting-edge tech, translating business needs into robust data products, and thriving in cross-functional teams across finance, software, and consulting projects.…Hi, I'm Tharun Gangaraju, an AI/ML Engineer focused on financial market prediction and sentiment analysis. With 2+ years of experience, I enjoy building scalable AI models, optimizing performance, and collaborating with stakeholders in Agile environments. I'm proficient in Python, transformer architectures, and cloud services, and I've delivered solutions that improve accuracy and reliability. I'm passionate about cutting-edge tech, translating business needs into robust data products, and thriving in cross-functional teams across finance, software, and consulting projects.

Available to hire

Hi, I’m Tharun Gangaraju, an AI/ML Engineer focused on financial market prediction and sentiment analysis. With 2+ years of experience, I enjoy building scalable AI models, optimizing performance, and collaborating with stakeholders in Agile environments. I’m proficient in Python, transformer architectures, and cloud services, and I’ve delivered solutions that improve accuracy and reliability.

I’m passionate about cutting-edge tech, translating business needs into robust data products, and thriving in cross-functional teams across finance, software, and consulting projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Hermeneutic Investments

May 1, 2024 - Present

Gathered requirements from stakeholders and collaborated with cross-functional teams in Agile ceremonies to deliver an AI-based financial market prediction tool for stock price forecasting, improving delivery efficiency by 30%. Designed the model using historical financial data, news sentiment analysis, and macro indicators; leveraged Dask and Vaex for scalable data processing and achieved 95% data processing efficiency. Applied transformer-based architectures (GPT-4 for sentiment analysis and Temporal Fusion Transformers for time-series forecasting) to capture complex patterns, boosting prediction accuracy by 25%. Conducted hyperparameter tuning (Optuna, Ray Tune) and testing (k-fold CV, confusion matrix, ROC) to improve accuracy, precision, recall, and F1 by ~20%, while ensuring robustness. Implemented Docker/Kubernetes-based deployment with MLflow for model tracking; deployed on AWS with CI/CD pipelines (Jenkins), and leveraging AWS SageMaker, AWS Lambda, and AWS Fargate for scalabl

Associate AI/ML Engineer at Accellor

August 1, 2023 - October 6, 2025

Developed a social media sentiment analysis tool by gathering requirements and collaborating with stakeholders in Agile settings, improving delivery efficiency by 25%. Built preprocessing and sentiment classification using SpaCy and NLTK, achieving 90% accuracy. Integrated transformer-based models (BERT and GPT‑3) for context-aware sentiment analysis, significantly enhancing the model's ability to understand complex emotions in posts. Performed hyperparameter tuning (Grid Search, Bayesian Optimization) to improve precision, recall, and F1-score by 15%. Used k-fold cross-validation and ROC curves to ensure robustness, reducing error rates by 20%. Containerized with Docker and orchestrated with Kubernetes; deployed on Azure AKS with Jenkins-based CI/CD for high availability and smooth version rollouts.