KANISHK SHARMA

Zoomcar India Pvt Ltd

RAIGARH, india

Since April 19, 2025

Skills

Startup DevelopersAngularFull-stackDevOpsAI EngineersPythonRuby on Rails DevelopersSoftware DevelopersTeam CollaborationAPI IntegrationGoogle Cloud ServicesMysqlBackendGit-GitHubReact.js

Experience

Zoomcar India Pvt Ltd

Software Development Engineer

April 1, 2022 – Present

Key Strengths

Strong proficiency in GoLang for building scalable and efficient RESTful APIs and backend systems.
Demonstrated expertise in distributed systems, including Kafka for messaging and event-driven architectures.
Proven ability to optimize system performance, evidenced by significant reductions in API response times (e.g., 6s to 500ms, 20s to 2s) and cost savings (80% on Google Distance Matrix API).
Experience with Docker and Kubernetes for containerization and deployment, enhancing system responsiveness.
Solid understanding of system design principles (LLD, HLD, SOLID) and cloud platforms (AWS, GCP).
Quantifiable impact in previous roles, indicating a results-oriented approach and problem-solving capabilities.
For an AI Engineer role, the candidate possesses a strong software engineering foundation crucial for MLOps, AI infrastructure, and building robust AI-powered applications, but lacks direct AI/ML specific experience.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 raises significant concerns regarding cultural fit, work attitude, stress handling, and team collaboration. This score indicates either a failure to complete the assessment or a severe mismatch, requiring further investigation.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong proficiency in GoLang for building scalable and efficient RESTful APIs and backend systems.
Demonstrated expertise in distributed systems, including Kafka for messaging and event-driven architectures.
Proven ability to optimize system performance, evidenced by significant reductions in API response times (e.g., 6s to 500ms, 20s to 2s) and cost savings (80% on Google Distance Matrix API).
Experience with Docker and Kubernetes for containerization and deployment, enhancing system responsiveness.
Solid understanding of system design principles (LLD, HLD, SOLID) and cloud platforms (AWS, GCP).
Quantifiable impact in previous roles, indicating a results-oriented approach and problem-solving capabilities.
For an AI Engineer role, the candidate possesses a strong software engineering foundation crucial for MLOps, AI infrastructure, and building robust AI-powered applications, but lacks direct AI/ML specific experience.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit