Sonal Prasad

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

Key Highlights

Expert in building scalable AI-driven solutions.
Proficient in optimizing data pipelines for performance.
Strong background in fraud detection model engineering.

Stackforce AI infers this person is a Fintech Backend Engineer specializing in AI and Big Data technologies.

Contact

Skills

Core Skills

Model EngBig DataApache Kafka

Other Skills

RedisSparkPythonDatabase Management System (DBMS)Apache hiveHDFSLinuxDistributed SystemsData EngineeringREST APIsMicroservicesSystems DesignMySQLObject-Oriented Programming (OOP)Design Patterns

About

I am a Software Engineer at VISA, working in the Model Engineering team under AIaS, which focuses on building scalable AI-driven solutions for fraud detection, optimizing model performance, and streamlining data pipelines. I graduated from NIT Allahabad (2023) with a B.Tech in Electronics and Communication Engineering. Additionally, I completed both a semester and summer internship at VISA, where I worked with big data technologies such as Spark, Kafka, Hive and more. I am passionate about software development, problem-solving, and emerging technologies, always eager to learn and take on new challenges.

Experience

2 yrs 10 mos

Total Experience

2 yrs 7 mos

Average Tenure

3 mos

Current Experience

Salesforce

Member of Technical Staff

Jan 2026 – Present · 3 mos · Bengaluru, Karnataka, India

Visa

3 roles

Software Engineer

Jun 2023 – Jan 2026 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Working as part of Visa’s Model Engineering team (AIaS), focusing on building and optimizing fraud detection models.
Engineered and productionized feature maps across behavioral, transactional, and merchant dimensions for real-time fraud scoring.
Owned the end-to-end SDLC - from requirement analysis and Spark implementation to deployment and validation.
Optimized Spark and Python-based data pipelines to improve efficiency and performance.
Implemented an automated HDFS cleanup utility integrated with Control-M to improve system stability.
Developed automation tools to streamline validation and debugging across multiple model features.
Contributed to model release cycles, ensuring seamless deployment through CI/CD pipelines and cross-team collaboration.

RedisModel eng

SWE Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Developed an analytics solution to analyze Spark job metrics and optimize resource allocation and application performance.
Implemented heuristic-based algorithms to provide configuration recommendations and improve memory utilization.
Optimized Spark job execution to enhance large-scale data processing efficiency and system scalability.

Big DataDatabase Management System (DBMS)

SWE Intern

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · On-site

Developed a proof of concept for a Hive database replication system, transitioning from batch-based bootstrap processing to a near real-time pipeline using Apache Kafka.
Redirected replication events to Kafka for direct reads, reducing load on the backend database and improving overall replication efficiency.

Apache hiveApache Kafka