Pranshul Khare

Senior Software Engineer

Bengaluru, Karnataka, India5 yrs experience

Key Highlights

Expert in developing high-scale applications.
Strong background in microservices and database architecture.
Proven ability to implement complex systems securely.

Stackforce AI infers this person is a Backend-focused Software Engineer in the SaaS industry.

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Skills

Core Skills

MicroservicesDatabaseRestful WebservicesComputer VisionData AnalysisMiddlewareDatabase ManagementApi DevelopmentSecurityDatabase DesignQuery TuningAwsFace Recognition

Other Skills

EncryptionJavaSpringC#.NETAzureSql ServerSystem DesignGitRedisKafkaCassandra

About

Software Engineer at BlackBuck specialising in Backend Development. Passionate for developing High Scale Applications. I like setting short term goals which serve as a driving force to work wisely under time limit and help me boost myself for the long ones. Believes in team work and always looks forward learning new technologies and skills. Skills : Java, Spring, C#, .NET, Azure, AWS, Sql Server, Database, System Design, Microservices, Git, Redis, Kafka,Cassandra

Experience

5 yrs

Total Experience

2 yrs

Average Tenure

10 mos

Current Experience

Paytm

Senior Software Engineer

Jul 2025 – Present · 10 mos · Bengaluru, Karnataka, India

Blackbuck (zinka logistics solutions pvt. ltd.)

Software Development Engineer I

Nov 2023 – Jul 2025 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Sparkcognition

Software Engineer

Apr 2021 – Oct 2023 · 2 yrs 6 mos · Bengaluru, Karnataka, India

Created RESTful APIs following microservice architecture and wrapped them using encryption mechanism.
Built a product which detects anomalies from a video and sends alerts, health reports for various use cases.
Gathered requirements to build a product in order to automate the model training
Design and implemented middleware platform for Computer Vision Enable Enterprise Attendance System, Helps for Marking attendance using CCTV cameras. The Platform is responsible for data transactions and maintenance in the database system
Implemented Integrating external Systems into products. The product has the capability to send and receive data for any third-party software in a secure manner.
Designed Database architecture for enterprise AI platform. Responsible for maintaining the database performance and Query tuning
Implemented Face Rekognition and attendance marking system using AWS Tools and Libraries for a Customer

databaseMicroservicesDatabase