KARTIK KUMAR

Noida, Uttar Pradesh, India

Since March 25, 2026

Skills

LLM applicationsRAG (Retrieval-Augmented Gener ation)Reinforcement Learning,Machine LearningAI Engineer

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

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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