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Building AI agents for Testing, Ex-TestMu AI (Lambdtest) - 10+ yrs experience in building software testing products
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TestRelic AI
Data Scientist
June 25, 2026 – Present
testrelic-mcp-server
February 28, 2026 – Present
Official MCP server support for TestRelic AI - Build, Plan, Debug, Analyze with AI native intelligence
View Projectpytest-swagger-converter
September 29, 2025 – October 8, 2025
Convert pytest API tests to OpenAPI 3.0 specs with assertions as validation rules. Transform `assert result["id"] > 0` into `"minimum": 1` schema constraints. Living documentation that stays synced with your tested API behavior. Perfect for CI/CD automation.
View Projectdb-poc-rust-mongo
September 3, 2024 – September 3, 2024
db-poc-rust-mongo — GitHub repository
View ProjectAnswer_Correctness_Prediction
November 11, 2020 – November 11, 2020
Answer_Correctness_Prediction — GitHub repository
View Projectfight-booking-system
October 10, 2020 – October 10, 2020
A sample flight booking system build on django
View Projecttelecom_churn_pca
August 17, 2020 – August 30, 2020
An assignment for predicting the Telecom churn by IIIT-B
View Projectlending-club-case-study
May 11, 2020 – May 18, 2020
This is the group case study for Upgrad
View Projectrandom-coupon-generator
September 17, 2019 – September 17, 2019
A random coupon generator for IoT device management I have created to solve the assembly issues at Tricog
View Projectsample-erc721-token
April 5, 2019 – April 5, 2019
This is a sample ERC 721 Token code on Solidity
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from web development (Django) to blockchain (ERC721) and system utilities (pytest-swagger-converter), alongside data science specific projects. This breadth suggests adaptability and a willingness to explore different technical domains. However, the lack of detailed descriptions for many projects makes it difficult to fully assess the depth of engagement or collaborative aspects. The current role as a Data Scientist aligns well with the target role, but the 'experienceLevel' is 0, which contradicts the current employment, suggesting a potential data discrepancy or very recent entry into the role. This makes it hard to gauge cultural fit for a senior role without more context on their actual experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no actionable insights.