Siddhant Joshi

Software Engineer

Bengaluru, Karnataka, India2 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Engineered advanced AI testing workflows.
Designed scalable metric versioning systems.
Recognized for outstanding tech delivery.

Stackforce AI infers this person is a Software Engineer specializing in SaaS and MarTech solutions.

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Skills

Core Skills

Python (programming Language)Java

Other Skills

MongoDBSpring BootKibanaDockerKubernetesReact.jsMySQLGitGrafanaElasticsearchPostman

About

Hi there! I am a Software Engineer at RagaAI Inc where we are building the worlds best AI testing platform. My academic background and practical experience have provided me with a solid foundation in software engineering principles and agile development methodologies. I am passionate about creating scalable, user-centric software solutions and eager to continue learning and growing in a dynamic team environment, and am open to opportunities in software development where I can contribute to innovative projects.

Experience

2 yrs 2 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 10 mos

Current Experience

Ragaai inc

Software Engineer 1

Jul 2024 – Present · 1 yr 10 mos · San Francisco Bay Area · Remote

Engineered multi-step custom metric workflows enabling sequential LLM prompts and Python code execution with automatic context propagation, where each step’s outputs serve as variables for downstream processing in complex evaluation chains.
Designed a metric versioning system with commit-based deployments, atomic version switching, and cross-project template replication, enabling instant rollbacks and enterprise-wide standardization.
Spearheaded a production-scale AI safety validation system to monitor and validate LLM prompts/outputs in real-time, implementing a concurrent processing architecture for configurable guardrail checks across multiple LLM providers.
Conducted capacity engineering, system monitoring, and performance tuning to identify bottlenecks and memory leaks, achieving 25 requests/second on 512MB/1CPU pods with P90 latency of 1.063s and enabling predictable horizontal scaling.
Led cross-functional collaboration, gathering requirements, addressing feedback, and working with Product, UI, and QA teams to refine and deliver features, ensuring seamless system integration.
Recognized as Employee of the Month (Sept 2024, April 2025) and awarded Best Tech Delivery (Q1 2025) for leading high-impact initiatives and driving successful project outcomes.

JavaPython (Programming Language)

Sprinklr

Software Engineer Intern

Jan 2024 – Jun 2024 · 5 mos · Gurugram, Haryana, India · On-site

Part of the Paid Ads Reporting Team.
Worked as part of the Ads Reporting Team, aggregating ad performance data from platforms like Facebook, LinkedIn, Twitter, and Reddit into a unified dashboard, enabling users to track 50+ metrics including time, region, age and other demographic parameters.
Designed and implemented restricted APIs to backfill data when jobs failed due to platform downtime, API rate limits (HTTP 429), or other issues, minimizing discrepancies between native platform data and Sprinklr’s dashboard, improving customer support efficiency.
Led the migration of Adobe API integrations, adapting to updated structure to ensure seamless data continuity.
Diagnosed and resolved inefficiencies in Google DV360 integration by fixing a retry policy bug triggered by abnormal traffic patterns, optimizing API usage and improving overall system reliability.

JavaMongoDB

Dover corporation

Software Engineer Intern

Jun 2023 – Jul 2023 · 1 mo · Bengaluru, Karnataka, India · On-site

Developed a Rules Engine Application, implementing REST APIs for CRUD operations on configurable rule sets.
Designed a dynamic query system to fetch and trigger user-defined rules, sending real-time notifications via email and webhooks.
Built an interactive frontend using React.js and Bootstrap, and containerized the application with Docker for seamless deployment.

JavaSpring Boot