Jnanaranjan Sahoo

AI ML Engineer

https://www.opentalent.in/jnanaranjan-sahoo

Government College of Engineering, Keonjhar

Key Strengths

Demonstrated deep expertise in production AI systems, including RAG pipelines, real-time voice agents, and computer vision.
Strong proficiency in async Python/FastAPI and self-hosted LLM infrastructure, showcasing a commitment to cost-efficiency and data privacy.
Proven ability to own end-to-end system development, from multi-tenant SaaS architecture to on-premise deployment, indicating strong full-stack capabilities.
Extensive experience with a wide array of AI/ML frameworks (PyTorch, EfficientNet, YOLO, LangChain, LangGraph), databases (PostgreSQL, Redis, Qdrant), cloud platforms (AWS), and DevOps tools (Docker, Nginx).
Certified in AWS Cloud Practitioner and AWS AI Practitioner, validating foundational cloud and AI knowledge.
Projects highlight a security-first mindset and focus on sub-second latency optimization, crucial for real-world AI applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate exhibits a strong cultural fit for an AI/ML Engineer role, demonstrating a passion for building complex, real-world AI solutions. The diversity of projects (voice agents, RAG, computer vision, data analysis) and the breadth of technical skills align perfectly with the demands of an innovative AI engineering environment. The focus on self-hosted solutions and end-to-end ownership suggests a proactive and resourceful individual who can contribute significantly to a team that values autonomy and impact.

Soft Skills & Operational Fit

The resume content implies strong problem-solving skills, a proactive approach to system ownership, and a security-conscious mindset. However, the zero score on the psychometric test raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are critical for operational fit and require thorough validation.

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 deep expertise in production AI systems, including RAG pipelines, real-time voice agents, and computer vision.
Strong proficiency in async Python/FastAPI and self-hosted LLM infrastructure, showcasing a commitment to cost-efficiency and data privacy.
Proven ability to own end-to-end system development, from multi-tenant SaaS architecture to on-premise deployment, indicating strong full-stack capabilities.
Extensive experience with a wide array of AI/ML frameworks (PyTorch, EfficientNet, YOLO, LangChain, LangGraph), databases (PostgreSQL, Redis, Qdrant), cloud platforms (AWS), and DevOps tools (Docker, Nginx).
Certified in AWS Cloud Practitioner and AWS AI Practitioner, validating foundational cloud and AI knowledge.
Projects highlight a security-first mindset and focus on sub-second latency optimization, crucial for real-world AI applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Jnanaranjan Sahoo

Key Strengths

Cultural & Operational Fit

Skills

Education

Key Strengths

Cultural & Operational Fit