Mehul Pandey

4th Orbit

Raipur, Chhattisgarh, India

Since February 11, 2026

Skills

PythonMachine LearningData Visualization DesignersRest ApiReact.jsMongoDBMysqlGit-GitHubDocker / KubernetesAutomation TestingTeam LeadershipTechnical LeadershipAI EngineersPower BIAPI IntegrationData WarehousingETL Pipelines

Experience

4th Orbit

Associate Software Consultant - AI & Automation

July 1, 2025 – Present

Bengaluru, India

Indian Institute of Space Science and Technology (IIST)

Research Intern – Machine Learning & Signal Processing

March 1, 2024 – July 1, 2024

Thiruvananthapuram, Kerala, India

Key Strengths

Demonstrated experience in building automation workflows and data pipelines using Python and N8N.
Practical experience with LLM APIs (OpenAI, Ollama) for data processing and transformation.
Developed and implemented custom RAG pipelines, serving 1,000+ users.
Applied MLOps practices including model versioning, monitoring, and A/B testing.
Experience in signal processing for physiological datasets (ECG/HRV) using Python and SQL.
Co-authored research presented at conferences, indicating a research-oriented mindset and ability to contribute to the field.
Proficiency in Python, SQL, and exposure to cloud technologies (AWS, Docker) relevant for AI engineering roles.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical red flag for cultural fit. This score indicates severe deficiencies in areas such as logical reasoning, work attitude, stress handling, and team collaboration, which are fundamental for integrating into any team or organizational culture.

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

Demonstrated experience in building automation workflows and data pipelines using Python and N8N.
Practical experience with LLM APIs (OpenAI, Ollama) for data processing and transformation.
Developed and implemented custom RAG pipelines, serving 1,000+ users.
Applied MLOps practices including model versioning, monitoring, and A/B testing.
Experience in signal processing for physiological datasets (ECG/HRV) using Python and SQL.
Co-authored research presented at conferences, indicating a research-oriented mindset and ability to contribute to the field.
Proficiency in Python, SQL, and exposure to cloud technologies (AWS, Docker) relevant for AI engineering roles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit