AI Engineer with 1+ years in Generative AI, Cloud & DevOps
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Assessing your cultural and operational fit
Motivated AI & Cloud Engineer with hands-on experience building Generative AI solutions, integrating LLMs via MCP protocol, and working with RAG-based architectures. Skilled in Python, JavaScript, Docker, and AWS. Passionate about deploying agentic AI workflows that solve real-world problems. Actively seeking opportunities in AI Engineering, GenAI development, and Cloud/DevOps roles.
Graphic Era (Deemed) University, Dehradun
MCA
August 1, 2024 – June 30, 2026
St. Andrews Institute of Technology, Gurugram
BCA
August 1, 2021 – June 30, 2024
S3B Global Pvt. Ltd.
Front-End & AI Integration Intern
March 1, 2026 – Present
India
Way2Class Pvt. Ltd.
XML Intern
January 1, 2026 – March 31, 2026
India
CRM + LLM Integration via MCP Protocol
March 1, 2026 – Present
Integrated a company CRM platform with GPT-4 and Claude using Model Context Protocol (MCP), enabling natural language querying of customer data. Reduced manual query resolution time by automating repetitive customer interactions through AI-driven responses.
AI-Based Wildfire Prediction Model
January 1, 2026 – Present
Built a Forest Fire Prediction System using ML techniques (Python, scikit-learn) analyzing environmental data for early fire risk detection. Implemented end-to-end pipeline: data preprocessing, model training, and real-time prediction modules.
Linux-Based Portfolio Deployment
January 1, 2026 – Present
Deployed a personal portfolio using Docker, GitHub Actions CI/CD, and Linux — demonstrating containerized deployment and version control workflows.
Password Strength Analyser Using Matrix
January 1, 2026 – Present
Built a security app using a 3×3 numeric matrix for graphical passwords, applying matrix transposition to generate dynamic, unpredictable passwords.
AWS Cloud Practitioner Essentials
Amazon Web Services
June 1, 2026 – Present
Fundamentals of Cloud Security
Palo Alto Networks
June 1, 2026 – Present
Google Cloud Computing Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good diversity of interests, including AI/ML, security, and DevOps, which aligns with a dynamic and innovative environment. The target role of 'AI Engineer' is well-matched with their recent internship and personal projects focusing on GenAI, LLM integration, and agentic solutions. The breadth of skills across AI, Cloud, and DevOps suggests a willingness to learn and adapt to different technological stacks, which is a positive indicator for cultural fit in a fast-paced tech company. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions and experience suggest an ability to work on diverse technical challenges, from AI/ML models to deployment pipelines. The focus on automating customer interactions and building prediction systems indicates a problem-solving mindset. Collaboration on an agentic application implies teamwork and adaptability. However, without direct assessment data, specific soft skills like communication, leadership, or stress handling cannot be definitively evaluated.