Find open positions for 'Machine Learning Internship' at 'Microsoft'. Evaluate their relevance based on the following CV: Jaypee Institute of Information Technology, Noida (U.P)                                                                    2019-2023
Bachelor of Technology-Computer Science                                                                                             7.6 cgpa
M.H.M.S, Jhansi (U.P.)                                                                                                                               2017-2019
CBSE-Higher Secondary                                                                                                                                             
Agentic AI framework for report summarizationEDUCATIONAKANSH GUPTA
PROJECTS
CERTIFICATIONSTECHNICAL SKILLS & INTERPERSONAL SKILLS
EXPERIENCE
Full Stack MLOps Engineer
EXL | Sept (2024) – Present
Agentic AI for Automated Report Summarization & Recommendations: Implemented Agentic AI-powered
automation to summarize reports and generate actionable recommendations, enhancing decision-making
efficiency.
Working on Developing an Agentic AI framework to automatically generate Terraform code by analyzing cloud
infrastructure diagrams, enabling seamless Infrastructure as Code (IaC) deployment.
End-to-End MLOps Deployment: Spearheaded the complete lifecycle of ML model deployment, including
CI/CD automation, model monitoring, and retraining, ensuring seamless scalability and reliability.
Currently working on the deployment of an enterprise-grade MLOps application, ensuring seamless integration
of ML models into production with automated CI/CD pipelines and scalable infrastructure.
Collaborating with data scientists, DevOps engineers, and stakeholders to optimize ML solutions for business
needs.akg686023@gmail.com    ·    https://www.linkedin.com/in/gakansh/
Languages                                         C++, python , Terraform 
Databases                                          MySQL , MongoDB
Web & Backend:                                React.js, Node.js                
MLops engineering:                          Model training, fine-tuning , End-to-end ML model deployment and monitoring
Integrated an Agentic AI framework for automated report summarization, leveraging modular tools, retrieval-
augmented generation (RAG), and seamless model integration to enhance efficiency, scalability, and decision-
making processes in summarizing complex documents for streamlined workflows and actionable insights.
MLops and ML engineering programLand Registration using Smart contracts
Developed a blockchain-based land registration system using smart contracts, ensuring secure, transparent,
and tamper-proof property transactions. Automated ownership verification, reduced manual processes, and
enhanced trust by leveraging decentralized technology for efficient and fraud-resistant land management.
DSA Self-Paced (C++)-GeeksforGeeksLLMOps Pipeline for Monitoring and Evaluating LLMs:
Designed and implemented an LLMOps pipeline to monitor and evaluate Large Language Models (LLMs)
in real-time, ensuring optimal performance and reliability. Integrated tools for performance tracking, drift
detection, and feedback-driven optimization, streamlining model lifecycle management and decision-
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