Akshat Jain

Backend Engineer

Rajasthan, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered AI-driven backend generating 1000+ tests.
Achieved 4-star rating on Codechef and Specialist on Codeforces.
Strong foundation in Data Structures and Algorithms.

Stackforce AI infers this person is a Backend Developer with expertise in Generative AI and scalable systems.

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Skills

Core Skills

Backend DevelopmentGenerative Ai Powered SystemsApi IntegrationContainerization

Other Skills

API DocumentationAlgorithmsC (Programming Language)C++Competitive ProgrammingCucumberData StructuresDatabase Management System (DBMS)DebuggingDockerExpress.jsGherkinGitGitHubGo (Programming Language)

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Roost.ai

2 roles

Member of Technical Staff

Oct 2022 – Present · 3 yrs 8 mos

Roost-GPT (Generative AI driven Testing Co-Pilot): Engineered AI-driven test generation backend using Node.js, generating
1000+ tests (API, integration, and unit) from Swagger/Postman collections and Gherkin-based context models. .
API Integration: Integrated 4 third-party APIs into applications, improving functionality and user experience through the seamless
use of REST protocols.
Docker: Dockerized multiple microservices and third-party applications, fortifying container security by remediating 95% of
identified vulnerabilities.
Prompt Engineering: Drafted and Optimized multiple prompts for various AI models (OpenAI GPT-4, Google Vertex, Azure
OpenAI, Claude AI 3.5 Sonnet) increasing the Roost-GPT test generation efficiency to 60%
Java AST parser: Pioneered a Java Abstract Syntax Tree parser to analyze large Java codebases, producing JSON outputs
detailing methods, associated structs, interfaces, and many other details, in a matter of 2-3 seconds.

Node.jsAPI IntegrationDockerPrompt EngineeringJavaBackend Development+1

Software Trainee

Jan 2022 – Sep 2022 · 8 mos

API Documentation: Authored and completed swagger documentation for 5+ microservices, ensuring complete visibility and
usability of the API.
Quality Assurance: Authored 100+ unit and E2E test cases, improving coverage and reducing failure rate by 70%.
Debugging and fixing: Diagnosed and resolved critical issues within the backend architecture, leading to a 40% decrease in
system downtime by implementing efficient troubleshooting protocols that addressed the top 3 recurring failures over 6 months.
Developed a Golang based tool leveraging Kubernetes API and SDK to monitor and manage pod health, ensuring a 99.9% uptime
for critical applications.

API DocumentationQuality AssuranceDebuggingGolangKubernetesBackend Development