Jyotirmay Singh Bharadwaj
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Machine Learning & Data Science, experienced in building real-w
Enthusiastic and performance-driven Artificial Intelligence and Data Science undergraduate with proven experience in building real-world AI applications, machine learning models, and data visualizations. Adept at applying Python, SQL, and cloud technologies to derive actionable insights and design scalable solutions. Passionate about delivering high-impact, explainable AI systems and intelligent data pipelines that support business growth and decision-making.
D.Y.Patil College Of Engineering
Bachelor Of Engineering · Artificial Intelligence And Data Science
August 1, 2022 – June 30, 2026
D.Y.Patil College Of Engineering
Honours Degree · Robotics
August 1, 2022 – June 30, 2026
Gayatri Shiksha Niketan School
12TH/Senior Secondary Education
June 1, 2021 – May 31, 2021
Zidio Development Pvt. Ltd.
Data Science & AI Intern
January 1, 2025 – April 1, 2025
India
Chatbot with Deep Learning
June 1, 2026 – Present
Built and fine-tuned a Transformer-based chatbot using Hugging Face and PyTorch, achieving 85%+ intent accuracy on custom conversational datasets. Optimized data preprocessing and training pipeline with efficient tokenization and padding strategies, reducing training time by 20%. Deployed a scalable chatbot application via Flask/Gradio, enabling real-time conversational query handling with an interactive UI.
View ProjectMovie Recommendation System
June 1, 2026 – Present
Developed a content-based movie recommendation system using TF-IDF and Cosine Similarity to analyze textual features such as keywords, taglines, and overviews. Preprocessed and engineered features from movie metadata to optimize the recommendation algorithm. Leveraged Python, Pandas, NumPy, and NLP libraries to deliver an accurate and efficient system.
View ProjectPredict Flight Delays Using Weather
June 1, 2026 – Present
Built and optimized machine learning models to predict flight delays based on weather conditions. Conducted exploratory data analysis and feature engineering to improve model performance. Analyzed datasets to identify patterns and provide actionable predictions.
View ProjectML-Powered IoC-Free Intrusion Detection System (IDS)
June 1, 2026 – Present
Co-developed an ML-powered Intrusion Detection System capable of detecting zero-day and AI-driven threats without traditional IoC signatures. Implemented GPT-based natural language processing to provide clear, explainable threat insights. Designed a cost-effective, transparent solution suitable for SMEs, startups, and educational institutions. Focused on enhancing cybersecurity accessibility through explainable AI and real-time anomaly detection.
View ProjectMastering PyTorch
Udemy
June 1, 2026 – Present
Data Science Foundation Specialization
Coursera
June 1, 2026 – Present
Numpy+Mataplotib+Pandas
Udemy
June 1, 2026 – Present
AWS Technical Essentials
Data Tech Labs
June 1, 2026 – Present
Data Science Essentials with Python
Cisco Networking Academy
June 1, 2026 – Present
Agentic AI
Progression School
June 1, 2026 – Present
Solved 40+ Problem on HackerRank
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI and Data Science, aligning well with an AI Engineer role. The diversity of projects (NLP, recommendation systems, predictive modeling, cybersecurity) shows a broad interest in applying AI across different domains. The inclusion of an 'Honours Degree in Robotics' further indicates a multidisciplinary approach. However, the lack of professional experience beyond a single internship and the academic nature of most projects suggest a need for more exposure to industry best practices and collaborative development environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, optimize solutions, and deploy applications. The focus on 'explainable AI' and 'cost-effective, transparent solutions' suggests a practical and user-centric approach. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication in a team setting cannot be fully evaluated.