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AI Research Engineer with less than a year in Data Science & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking a position where I can apply my knowledge and skills, continue learning and growing professionally, and contribute meaningfully to the organization's success while collaborating with a team that inspires personal and professional development.
Global Academy of Technology
Bachelor of Engineering · Artificial Intelligence and Data Science
August 1, 2021 – June 1, 2025
Sri Chaitanya Techno School
12th CBSE · PCMB
June 1, 2019 – May 1, 2021
Sri Chaitanya Techno School
10th CBSE
N/A – May 1, 2019
Tesco
Associate Technical support
September 1, 2025 – December 1, 2025
Bengaluru, Karnataka, India
Bosch Ltd
CSL RCA Automation Intern
October 1, 2024 – December 1, 2024
Bengaluru, Karnataka, India
Predictive Diagnosis Breast Cancer Detection
June 18, 2026 – Present
Co-authored research on ML models for breast cancer detection: ANN and SVM showed high accuracy, Bayesian Networks handled data uncertainity effectively.(click it here)
Accurate Detection and Classification of Alopecia using Machine Learning Models and Interpretation using LIME and SHAP Explainers
June 18, 2026 – March 1, 2024
Co-authored a research paper on alopecia detection using machine learning models including XGBoost, Random Forest, and Decision Trees, achieving 97.5% accuracy. Applied LIME and SHAP explainable AI tools for model interpretability. Findings emphasized the importance of stress level and hair grease as top predictors for personalized alopecia diagnosis. (click it here)
View ProjectConversAI: A Chatbot Built on the Agno Framework
June 1, 2025 – July 1, 2025
Built an intelligent financial chatbot leveraging Mistral-7B and LangChain to provide real-time stock analysis and insights. Implemented RAG using FAISS and Hugging Face embeddings, with persistent chat memory and structured financial prompts for accurate comparative stock evaluation.(click it here)
View ProjectCrop Yield Prediction
January 1, 2025 – May 1, 2025
Developed a machine learning system for crop yield prediction using key environmental and agricultural factors like rainfall, temperature, pesticide use, and crop type. Utilized Decision Tree Regression to achieve strong performance (R2 = 0.862, MAE = 2.74). The project included a full pipeline from data preprocessing to model training and evaluation, and was deployed as an interactive Flask web app, providing real-time predictions to support precision agriculture and informed decision-making for farmers and policymakers. (click it here)
View ProjectMalaria Detection Using CNN
March 1, 2024 – May 1, 2024
Developed a deep learning model to detect malaria by classifying cell images as parasitized or uninfected using the Kaggle Malaria Detection Dataset. Employed convolutional neural networks (CNNs) for effective feature extraction and classification, achieving strong performance in binary classification. Incorporated preprocessing steps like image resizing, normalization, and data augmentation. Evaluated the model using metrics such as accuracy, precision, recall, and F1-score. The project showcases the role of AI in medical diagnostics and the potential for automated disease detection in healthcare systems. (click it here)
Machine Learning
Infosys
June 1, 2026 – Present
Python Foundation
Infosys
June 1, 2026 – Present
Computer Network
Infosys
June 1, 2026 – Present
Python for Data Science
NPTEL
June 1, 2026 – Present
Data Science for Engineers
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI to diverse fields such as healthcare (breast cancer, malaria, alopecia detection), agriculture (crop yield prediction), and finance (chatbot). This breadth of application, coupled with academic research contributions, suggests a curious and adaptable individual. The internships, while not directly AI research, show an ability to work in corporate environments and contribute to process improvement. The extracurricular activities indicate a well-rounded personality and potential for teamwork, which are positive indicators for cultural fit in a collaborative research environment.
Soft Skills & Operational Fit
The candidate lists leadership, public speaking, problem-solving, networking, empathy, and creativity as soft skills. While these are valuable, the provided experience as an Associate Technical Support and RCA Automation Intern does not offer sufficient detail to objectively assess the depth of these skills in a senior AI Research Engineer context. The project descriptions are clear, but the overall professional communication in the resume is concise rather than elaborative, which is typical for an entry-level candidate.