KARTIK KUMAR

AI Engineer

https://www.opentalent.in/kartik-kumar-1

Noida, Uttar Pradesh, IndiaMember since March 25, 2026

Key Strengths

Senior AI Engineer with 5 years of experience in end-to-end design and development of GenAI-powered applications.
Expertise in translating business requirements into scalable AI architectures using LLMs, RAG, agentic workflows, and cloud-native services.
Strong background in Python backend systems (Flask, FastAPI, AsyncIO), distributed architectures, performance-first, and secure production deployments.
Proficiency across multiple cloud platforms: AWS, GCP, and Azure, including MLOps tools like SageMaker and Vertex AI.
Demonstrated experience with advanced GenAI concepts: OpenAI (GPT-4/40), Vertex AI (Gemini), Azure OpenAI, Prompt Engineering, RAG, Grounded Generation, and Agent Frameworks (LangChain, LangGraph).
Hands-on experience with vector search and retrieval (Qdrant, FAISS, Hybrid Search, Cross-Encoder Re-ranking).
Experience in DevOps & Observability practices: GitHub Actions, GitLab CI/CD, Prometheus, Grafana, New Relic, and logging.
Proven ability to lead architecture, design, and development of GenAI platforms, including Text-to-SQL systems and API Gateway with Redis-based rate limiting.
Experience in mentoring engineers and collaborating with cross-functional teams (Product, Architecture, Security, Data Engineering).

Cultural & Operational Fit

Cultural Fit Analysis

Based on the resume, the candidate appears to possess strong collaborative traits, having 'collaborated with Product, Architecture, Security, and Data Engg teams' and 'mentored engineers'. This suggests a team-oriented and supportive approach. However, the psychometric test score of 0, which specifically assesses 'work attitude' and 'team collaboration', presents a significant concern or indicates that these critical aspects of cultural fit could not be verified through the assessment process.

Soft Skills & Operational Fit

The candidate's resume suggests strong leadership, ownership, and collaboration skills, evidenced by leading architecture, design, and development, mentoring engineers, and collaborating with various teams. The emphasis on 'performance-first' and 'secure production deployments' indicates attention to detail and a focus on quality and reliability. However, the psychometric test score of 0, which evaluates logical reasoning, work attitude, stress handling, and team collaboration, directly contradicts these inferences or indicates a critical lack of verifiable data in these areas.

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Assessing your cultural and operational fit

Key Strengths

Senior AI Engineer with 5 years of experience in end-to-end design and development of GenAI-powered applications.
Expertise in translating business requirements into scalable AI architectures using LLMs, RAG, agentic workflows, and cloud-native services.
Strong background in Python backend systems (Flask, FastAPI, AsyncIO), distributed architectures, performance-first, and secure production deployments.
Proficiency across multiple cloud platforms: AWS, GCP, and Azure, including MLOps tools like SageMaker and Vertex AI.
Demonstrated experience with advanced GenAI concepts: OpenAI (GPT-4/40), Vertex AI (Gemini), Azure OpenAI, Prompt Engineering, RAG, Grounded Generation, and Agent Frameworks (LangChain, LangGraph).
Hands-on experience with vector search and retrieval (Qdrant, FAISS, Hybrid Search, Cross-Encoder Re-ranking).
Experience in DevOps & Observability practices: GitHub Actions, GitLab CI/CD, Prometheus, Grafana, New Relic, and logging.
Proven ability to lead architecture, design, and development of GenAI platforms, including Text-to-SQL systems and API Gateway with Redis-based rate limiting.
Experience in mentoring engineers and collaborating with cross-functional teams (Product, Architecture, Security, Data Engineering).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit