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AI Engineer with less than a year in building and deploying ML and LLM-based solutions.
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Assessing your cultural and operational fit
AI/ML Engineer with hands-on internship experience building and deploying ML and LLM-based solutions for real business workflows, including end-to-end pipelines from data preprocessing through model training and deployment. Comfortable working across Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and APIs to integrate models into applications. Experienced with local/open-source LLM experimentation and eager to build MLOps practices in a fast-moving, early-stage AI team.
Pragati Engineering College
B.Tech · Computer Science Engineering (AI)
August 1, 2022 – June 30, 2026
Narayana Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
EverNorth Health Services
AI/ML Intern
July 1, 2025 – January 1, 2026
Hyderābād, Telangana, India
PM Accelerator
Data Scientist Intern
April 1, 2025 – July 1, 2025
India
Visual Captioning Model
June 23, 2026 – Present
Built an image captioning system in TensorFlow/Keras combining InceptionV3 and LSTM architectures to generate natural language descriptions from images. Preprocessed the Flickr8k dataset (caption cleaning, tokenization, padding) and integrated GloVe embeddings to build a semantic embedding matrix. Trained and optimized the CNN-LSTM model with teacher forcing, and implemented inference using greedy and beam search decoding for caption generation.
View ProjectTabular LLM Insight Generator
June 23, 2026 – Present
Built an LLM-powered analytics assistant that lets users query structured business data in natural language, automating exploratory data analysis. Implemented automated visualization and insight-generation workflows on top of tabular data to speed up data-driven decision-making.
View ProjectSalesforce AI Associate, Agentforce Specialist
Salesforce
June 1, 2026 – Present
Google Cloud Engineer Associate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship roles demonstrate a strong interest and practical engagement in AI/ML. The diversity of projects (image captioning, tabular data analysis, support automation) and the mention of hackathon participation indicate a proactive and collaborative mindset. The certifications in Google Cloud and Salesforce AI further align with a culture of continuous learning and practical application of AI technologies.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, team collaboration, communication, and adaptability as professional skills. The project descriptions indicate an ability to work on complex, multi-faceted problems and deliver functional prototypes. The internship experience suggests an operational fit for roles requiring practical application of AI/ML in business workflows.