# Shashank Reddy Sama

> Machine Learning Engineer | Specializing in Computer Vision, Generative AI & Real-World Robotics | Building Scalable, Intelligent Systems through Data & Innovation

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/shashankreddysama

I’m a Machine Learning Engineer with a Master’s in Mechatronics and Robotics from New York University, passionate about building intelligent systems where robotics, AI, and software meet.

My journey has taken me from developing deep learning and NLP models at Accenture to deploying scalable ML solutions in financial analytics and fraud detection at JPMorgan Chase. Along the way, I’ve worked with technologies like PyTorch, FastAPI, AWS, and BERT, and honed my skills in designing systems that are both technically strong and impactful in real-world settings.

I’m driven by curiosity—especially around how AI can make machines smarter and decision systems more human-aware. I love collaborating across disciplines to turn data and code into solutions that truly make a difference.

## Work Experience
### Machine Learning Engineer @ JP Morgan Chase & Co
Jan 2024 – Present | New York, New York, United States
As a Machine Learning Engineer at JPMorgan Chase, I build scalable Al solutions that enhance financial analytics, detect fraud, and streamline data-driven decision-making.
•Designed and optimized ML models that improved financial prediction accuracy by 35%, driving smarter business insights.
• Developed LSTM-based fraud detection models with 98% accuracy, strengthening compliance and transaction security.
•Boosted model performance by 10% through
BERT fine-tuning and GAN-based data augmentation for text analytics.
•Built CNN-powered anomaly detection systems, cutting fraudulent activities by 38% and improving transaction monitoring efficiency.
• Engineered FastAPI-based inference pipelines and deployed models on AWS (EC2, Lambda, SageMaker) and Google Cloud, reducing time-to-market by 30%.
•Automated ML workflows and leveraged time-series forecasting to optimize staffing, reducing operational costs by 30%.

### Machine Learning Engineer @ Accenture
Jan 2021 – Jan 2022 | Hyderabad
At Accenture, I developed and deployed Al and deep learning solutions that optimized business operations, enhanced customer experiences, and improved system efficiency.
• Designed and fine-tuned ML and NLP models like
BERT, RNN, and CNN, achieving high accuracy in inten classification, anomaly detection, and sentiment prediction.
• Improved model efficiency by 38% through optimization, quantization, and pruning, enhancing performance across NLP and computer vision tasks.
•Built time-series forecasting models and XBoost pipelines to support business planning and operational decision-making.
•Deployed scalable models on AWS with CloudWatch monitoring, reducing issue resolution time by 30%.
•Developed an LLM-powered chatbot integrated with enterprise systems, increasing service efficiency by 25%.


## Education
### Master of Science - MS in Mechatronics, Robotics, and Automation Engineering
New York University

### Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering
Indian Institute of Information Technology, SriCity

### Intermediate in MPC
FIITJEE

### 10th Class
Johnson Grammar School ICSE & IB


## Contact & Social
- LinkedIn: https://linkedin.com/in/shashank-sama

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Source: https://flows.cv/shashankreddysama
JSON Resume: https://flows.cv/shashankreddysama/resume.json
Last updated: 2026-04-16