Pratikshit Chaturvedi

Full Stack Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

Key Highlights

Expert in building scalable backend platforms.
Led end-to-end feature development for enterprise applications.
Strong experience with Python and Java in distributed systems.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SAAS and distributed systems.

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Skills

Core Skills

PythonBackend DesignJavaDistributed SystemsSpring Boot

Other Skills

AWSKafkaRabbitMQAPIsBackend ServicesAutomation WorkflowsElasticsearchC++Team AssessmentTechnology EducationREST APIsMiddlewareRequirements GatheringCareer DevelopmentFront-end Engineering

About

I am a Senior Software Development Engineer with strong experience in building scalable, resilient, and high-performance backend platforms across TELUS Digital AI, Oracle, Trellix/ McAfee. Currently at TELUS Digital AI, I work primarily with Python, AWS, Kafka, and RabbitMQ, building reliable backend services and automation workflows for large-scale enterprise platforms. I focus on system performance, distributed reliability, and platform stability, while also leading on-call operations, handling production incidents, triage, RCA, and ensuring uptime. Previously, I worked extensively with Java while contributing to: • Oracle – enhanced EPM/Hyperion infrastructure, automation, accessibility and helped drive major product stability improvements • Trellix / McAfee – built core EDR microservices, owned critical backend systems, improved cloud performance, and worked closely with architects while also driving agile execution My expertise spans Python, Java, distributed systems, messaging, cloud platforms, backend design, and production reliability. I enjoy solving complex real-world engineering challenges, scaling platforms, and owning systems end-to-end.

Experience

5 yrs 4 mos

Total Experience

1 yr 5 mos

Average Tenure

11 mos

Current Experience

Telus digital ai data solutions

SDE II

Jul 2025 – Present · 11 mos

Contribute as a Full Stack Engineer with a 70% backend and 30% frontend focus, maintaining and enhancing multiple Talent Studio products and repositories. Own and maintain key backend services — APAPI, Squirrel, and Job Entry, along with frontend systems like CMP Internal UI and the Crowd Management Platform App. Optimized multiple APIs across APAPI and Squirrel services, reducing average response time to under 400 ms under high-load scenarios and improving platform performance. Developed the “Bulk Candidate Transfer” feature from scratch — enabling seamless and large-scale candidate movement between projects, improving operational efficiency. Built the “Tasks as an Exam” feature — allowing teams to configure and evaluate candidate tasks as formal assessments, enhancing automation and evaluation workflows. Participate in on-call rotations, providing quick issue triage and production resolutions to ensure service reliability and uptime. Collaborate cross-functionally with AI, Infrastructure, and DevOps teams to enhance system scalability, monitoring, and overall platform stability. Lead end-to-end feature development — from requirement gathering and backend design to frontend integration, testing, and deployment.

PythonAWSKafkaRabbitMQAPIsBackend Services+2