Priyanka Kumari

AI Engineer

https://talent.gravityer.com/priyanka-kumari-2113793

Key Strengths

Strong academic background with a B.Tech in Computer Science Engineering and high school scores.
Claimed experience in AI/ML engineering, including geospatial analytics, clustering algorithms (DBSCAN, MeanShift), and ground-truth validation from ML Intern role.
Claimed proficiency in modern web development (React.js, Node.js, Express.js) and full-stack project implementation.
Extensive project experience demonstrating application of LLMs, LangChain, autonomous agents, RAG pipelines, and OpenAI APIs, highly relevant for an AI Engineer role.
Claimed strong problem-solving and algorithmic skills, evidenced by competitive programming rank (Naukri CodeQuest Global Rank 158) and 350+ DSA problems solved on LeetCode/GFG.
Research publication in IEEE conference on clustering algorithms indicates potential for deep technical understanding and contribution.

Skill Analysis

Technical Problem Solving

★★★★★

Candidate scored 0% on this technical assessment, indicating a complete lack of demonstrated proficiency in the evaluated skills.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Limitations

Failed to demonstrate proficiency in problem solving
Lack of coding logic application
Inaccurate technical implementation
Inability to apply practical solutions

Technical Problem Solving

★★★★

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0% provides no data to assess cultural fit aspects such as work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit

The psychometric test score of 0% provides no data to assess soft skills, logical reasoning, work attitude, stress handling, or team collaboration. While the resume mentions collaboration in Agile sprints, this is not validated by assessment data.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Priyanka Kumari is a final-year Computer Science student at BIT Mesra (2026) with a strong profile spanning full-stack development and AI/ML engineering. She has hands-on internship experience as an ML Intern at Agrix, where she built geospatial analytics pipelines, and as a Software Developer Intern working with React.js. Her standout projects include CampusConnect, an AI-orchestrated platform using LangChain, RAG pipelines, and autonomous agents, and an AI Lead Generation CRM built on the MERN stack. She has an accepted IEEE publication on GPS-based agricultural plot segmentation, a Global Rank 158 in Naukri CodeQuest, and 350+ DSA problems solved. Her core strengths lie in the MERN stack, Python, LangChain, Agentic AI, and geospatial ML.

Key Strengths

Strong academic background with a B.Tech in Computer Science Engineering and high school scores.
Claimed experience in AI/ML engineering, including geospatial analytics, clustering algorithms (DBSCAN, MeanShift), and ground-truth validation from ML Intern role.
Claimed proficiency in modern web development (React.js, Node.js, Express.js) and full-stack project implementation.
Extensive project experience demonstrating application of LLMs, LangChain, autonomous agents, RAG pipelines, and OpenAI APIs, highly relevant for an AI Engineer role.
Claimed strong problem-solving and algorithmic skills, evidenced by competitive programming rank (Naukri CodeQuest Global Rank 158) and 350+ DSA problems solved on LeetCode/GFG.
Research publication in IEEE conference on clustering algorithms indicates potential for deep technical understanding and contribution.

Skill Analysis

Technical Problem Solving

★★★★★

Candidate scored 0% on this technical assessment, indicating a complete lack of demonstrated proficiency in the evaluated skills.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Limitations

Failed to demonstrate proficiency in problem solving
Lack of coding logic application
Inaccurate technical implementation
Inability to apply practical solutions

Technical Problem Solving

★★★★

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0% provides no data to assess cultural fit aspects such as work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit

Technical Problem Solving

★★★★★

Candidate scored 0% on this technical assessment, indicating a complete lack of demonstrated proficiency in the evaluated skills.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Limitations

Failed to demonstrate proficiency in problem solving
Lack of coding logic application
Inaccurate technical implementation
Inability to apply practical solutions

Technical Problem Solving

★★★★★

Candidate scored 0% on this technical assessment, indicating a complete lack of demonstrated proficiency in the evaluated skills.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Limitations

Failed to demonstrate proficiency in problem solving
Lack of coding logic application
Inaccurate technical implementation
Inability to apply practical solutions