Siddhi Chourasia

Associate Consultant

Bengaluru, Karnataka, India3 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in Java and PL/SQL for financial software.
Proficient in deep learning with PyTorch for healthcare applications.
Strong background in microservices and API development.

Stackforce AI infers this person is a Fintech and Healthcare-focused Software Engineer with strong expertise in Java and Deep Learning.

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Skills

Core Skills

JavaPl/sqlDeep LearningImage Processing

Other Skills

Artificial Intelligence (AI)Business DevelopmentC++CanvaCascading Style Sheets (CSS)Creative WritingData ProcessingDigital Image ProcessingEvent ManagementEvent PlanningHTML5Image & Video EditingJavaScriptLeadershipLinux

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

3 yrs

Current Experience

Oracle

Associate Consultant

Jun 2023 – Present · 3 yrs · Bengaluru, Karnataka, India

Developed and optimized Java-based financial software and PL/SQL packages for low-latency transactions and seamless integration.
Customized Flexcube, OBPM, ELCM, and OBBRN with 150+ enhancements, boosting transaction speed by 15%.
Built high-performance microservices and APIs using Java, Node.js, and REST.
Improved SOA integrations and optimized SQL queries to enhance execution time and throughput.
Leveraged Linux tools (PuTTY, WinSCP) for deployments, troubleshooting, and backend performance tuning.
Provided production support, resolving critical issues and reducing system downtime.

JavaPL/SQLMySQLWebLogicLinuxREST+2

Shri ramdeobaba college of engineering and management

Research Internship

Jan 2023 – May 2023 · 4 mos · Nagpur, Maharashtra, India

Trained models using PyTorch for deep learning implementation.
Optimized model architectures, including U-Net, Residual U-Net, and Attention U-Net.
Evaluated model performance with metrics such as IoU and accuracy.
Processed MRI images to prepare the dataset for training and testing.
Implemented advanced techniques like residual and attention mechanisms to enhance CNN models.
Analyzed results to draw comparisons between different models, identifying key performance drivers.

PyTorchDeep LearningImage ProcessingNatural Language Processing (NLP)