hemanth kumar

Generative AI Engineer

https://www.opentalent.in/hemanth-kumar-5536288

Generative AI Engineer with less than a year in Python & Machine Learning

Key Strengths

Strong foundational knowledge in Python and relevant AI/ML frameworks (FastAPI, LangChain, FAISS, Pydantic, BERT, YOLO, Swin-U-Net).
Demonstrated ability to build end-to-end GenAI applications, including RAG pipelines and document analysis systems.
Experience with advanced computer vision techniques for medical imaging (YOLO, Swin-U-Net for detection, classification, and segmentation).
Practical experience in developing recommendation systems using hybrid approaches (BERT embeddings + Random Forest).
Familiarity with cloud platforms (AWS) and API development (FastAPI REST APIs with Pydantic schemas).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a strong interest in cutting-edge AI applications, including Generative AI, computer vision, and recommendation systems. This aligns well with a Generative AI Engineer role. The diversity of projects (medical imaging, recommendation systems, document analysis) shows a broad technical curiosity and ability to apply AI in different domains. The self-reported soft skills also suggest a collaborative and responsible approach, which is positive for cultural fit.

Soft Skills & Operational Fit

The candidate highlights adaptability, customer communication, teamwork, leadership, and ethics & responsibility. These are valuable for a senior role, indicating a potential for effective collaboration and problem-solving. However, as these are self-reported, further validation during interviews would be necessary.

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Education

Amrita Vishwa Vidyapeetham

B.Tech Computer Science and Engineering · Computer Science and Engineering

August 1, 2022 – June 30, 2026

Tirumala Junior college

Class XII

June 1, 2020 – May 31, 2022

Bhashyam High School

Class X

June 1, 2019 – May 31, 2020

Projects

Brain Tumor Detection, Classification & Segmentation using YOLO (v8/v10/v11) and Swin-U-Net

January 1, 2026 – June 1, 2026

Built an end-to-end MRI analysis pipeline to detect, classify, and segment brain tumors by combining YOLO (v8/v10/v11) for localization/classification and Swin Transformer + U-Net for precise segmentation. Performed medical image preprocessing, augmentation, and annotation (bounding boxes + masks) to support both detection and segmentation tasks. Compared multiple YOLO versions using mAP, precision, recall, and inference speed, and achieved Dice Score of 0.85 for tumor segmentation with the Swin-U-Net model.

AI Document Analysis & Chat Bot using RAG Pipelines (Full Stack)

January 1, 2026 – June 1, 2026

Built an end-to-end GenAI-powered document analysis portal with features like document ingestion, semantic search, comparison, and conversational Q&A. Built and debugged FastAPI REST APIs with typed Pydantic schemas to ensure reliable third-party integrations — experience directly applicable to supporting enterprise SaaS workflows.

Netflix and TV Shows Recommendation System using Random Forest and BERT

October 1, 2024 – December 1, 2024

Developed a hybrid recommendation system using BERT embeddings + Random Forest for enhanced personalization. Achieved 88% performance using genre classification and user preference analysis.

Certifications

Hacker Rank

SQL

June 1, 2026 – Present

Intro to Python

Infosys Spring Board

June 1, 2026 – Present

Oracle Cloud Infrastructure 2025 Generative AI Professional

Oracle

January 1, 2025 – Present

Key Strengths

Strong foundational knowledge in Python and relevant AI/ML frameworks (FastAPI, LangChain, FAISS, Pydantic, BERT, YOLO, Swin-U-Net).
Demonstrated ability to build end-to-end GenAI applications, including RAG pipelines and document analysis systems.
Experience with advanced computer vision techniques for medical imaging (YOLO, Swin-U-Net for detection, classification, and segmentation).
Practical experience in developing recommendation systems using hybrid approaches (BERT embeddings + Random Forest).
Familiarity with cloud platforms (AWS) and API development (FastAPI REST APIs with Pydantic schemas).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

hemanth kumar

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit