Surya Teja Kancharla

AI Engineer

https://www.opentalent.in/surya-teja-kancharla

Visakhapatnam, Andhra Pradesh, IndiaMember since January 22, 2026

Key Strengths

Strong foundational knowledge in AI/ML, NLP, and Deep Learning, demonstrated through relevant coursework and projects.
Practical experience with LLM-based systems, including Retrieval-Augmented Generation (RAG) architecture and evaluation using RAGAS metrics (DocuMind project).
Proficiency in Python and key ML/DL frameworks such as PyTorch, Scikit-learn, NLTK, and SpaCy.
Hands-on experience in building end-to-end ML pipelines, from data preprocessing and feature extraction to model training, evaluation, and deployment (Sentiment Analysis, ECG-DSS, Smart Travel Planner).
Demonstrated ability to deploy ML models via Streamlit and develop backend services with FastAPI for real-time inference.
Solid problem-solving skills, evidenced by solving 600+ coding problems on platforms like LeetCode and HackerRank.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0, which includes 'team collaboration' as an evaluation focus, suggests a significant concern regarding cultural fit. Based strictly on this score, the candidate's fit for a collaborative work environment is unconfirmed or potentially problematic. Further assessment is critically required.

Soft Skills & Operational Fit

The psychometric test score of 0 indicates a critical lack of data or a severe deficiency in assessed areas such as logical reasoning, work attitude, stress handling, and team collaboration. Without further assessment, it is impossible to objectively evaluate soft skills or operational fit. The resume itself does not provide sufficient details to infer these aspects.

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

Strong foundational knowledge in AI/ML, NLP, and Deep Learning, demonstrated through relevant coursework and projects.
Practical experience with LLM-based systems, including Retrieval-Augmented Generation (RAG) architecture and evaluation using RAGAS metrics (DocuMind project).
Proficiency in Python and key ML/DL frameworks such as PyTorch, Scikit-learn, NLTK, and SpaCy.
Hands-on experience in building end-to-end ML pipelines, from data preprocessing and feature extraction to model training, evaluation, and deployment (Sentiment Analysis, ECG-DSS, Smart Travel Planner).
Demonstrated ability to deploy ML models via Streamlit and develop backend services with FastAPI for real-time inference.
Solid problem-solving skills, evidenced by solving 600+ coding problems on platforms like LeetCode and HackerRank.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Surya Teja Kancharla

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit