Aspiring ML Engineer with Cloud Foundations

Maheswari Siriveru

******************@*****.*** +91-939**-***** maheswari20 mahicoding98

PROFILE

Dynamic Computer Science student specializing in Machine Learning(CSM), complemented by a diploma in Electronics and Communication Engineering (ECE) with an outstanding academic record. A proactive and enthusiastic learner, Ready to leverage academic skills and contribute positively to dynamic project environments. INTERNSHIPS & TRAINING

Revature – Python Full Stack Developer (Pre-Training)

•Currently participating in Python Full Stack pre-training on the Evolve Talent Platform, gaining hands-on experience with Python, SQL, and SDLC best practices. 11/2025 – Present

•Applying Git and GitHub for version control, collaborative coding, and maintaining code quality throughout the training.

Cybersecurity Virtual Internship - AICTE eduskills

•Explored basic concepts of network security, threat analysis, and data protection. 12/2022 – 02/2023

•Explored various types of cyberattacks including phishing, malware, and social engineering

Industrial Training in Diploma

Cisco System India PVT LTD

•Gained foundational knowledge of networking concepts, including routers, switches, and protocols.

09/2021 – 02/2022

EDUCATION

BTech in Computer Science Engineering - Artifical Intelligence & Machine learning Vasireddy Venkatadri Institute Of Technology, Nambur 8.48 2022 – 2025

Diploma in Electronics & Communications Engineering KES Polytechnic, Vadeswaram 96%

2019 – 2022

Board Of Secondary Education Andhrapradesh,Harika EM High School, Vijayawada 9.7 2018 – 2019 SKILLS

Technical Skills

•Programming Languages: Python, Java (basic)

• Database & Querying: MySQL, SQL queries, DBMS

•Tools & Technologies: Git, MS Excel, Cloud Basics Soft Skills

•Good Communication Skills

•Adaptability

•Analytical Thinking

CERTIFICATES

Google Cloud Certified -

Associate Cloud Engineer

Python in DataScience AWS Academy Cloud

Foundations & Architecting

PROJECTS

Job Recommendation / Career Advancement Platform

•Collaborated on a job recommendation system project using NLP and machine learning to parse resumes and analyze user profiles for accurate role matching. Applied TF-IDF vectorization and cosine similarity to evaluate alignment between resumes and job descriptions. Contributed to enhancing recommendation accuracy, enabling users to receive personalized career guidance based on skills and experience. College Event Management system

•Collaborated with a team to develop a basic web application using Handlebars.js (HBS) and MongoDB, including features like event scheduling, registration management, and event exploration to support college events. HOBBIES

Solving puzzles ( rubik's cube&word puzzles)

Reading books & listening mythological stories

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