Aspiring CS Engineer with UI/UX Focus

Rohit Jugram Gautam

Email: *************@*****.*** Mobile: +91-797*******

LinkedIn: linkedin.com/in/rohit-jugram-gautam

Portfolio: behance.net/rohitgautam62

Location: Nagpur, India

Objective

Aspiring Computer Science Engineer with a passion for technology and problem-solving. A smart and adaptable learner with a growth mindset, eager to contribute to innovative engineering projects and continuously expand technical and professional skills.

Education

Yeshwantrao Chauhan College of Engineering, Nagpur, India Nov 2022 – Present B.Tech in Computer Science (Design)

HSC 2021 – 2022

12th Standard, 89.6%

SSC 2019 – 2020

10th Standard, 93.8%

Skills Summary

• Languages: C, C++, Java, Python, SQL

• Frameworks & Tools: Figma, AdobeXD, React, Git, Salesforce (Learning)

• Technical Skills: UI/UX Design, Figma Prototyping, OOPs, Machine Learning, DBMS, Data Structures and Algorithms

• Soft Skills: Effective Communication, Team Leadership, Empathy, Adaptability Work Experience

Tutor Private Coaching Classes Jan 2021 – Jan 2022

• Provided individual and group coaching to students in various subjects.

• Enhanced understanding of key concepts through tailored lesson plans. UI/UX Design Trainee DzgnJam (CSR1) Jan 2024 – Feb 2024

• Completed 1-month practical training in UI/UX design through DzgnJam’s CSR initiative.

• Learned tools like Figma, Adobe XD, and applied industry-standard design methodologies. Salesforce Virtual Internship (Phase 1) TCS Last Miles Program Aug 2025 – Present

• Currently learning Salesforce through the TCS Last Miles Program (Virtual Internship).

• Gaining hands-on exposure to Salesforce fundamentals, CRM tools, and real-world applications. Projects

Centralized Grievance Management System Feb 2025 – Mar 2025

• Built a centralized portal for handling student and faculty grievances efficiently.

• Developed complaint submission, status tracking, and admin resolution dashboards.

• Implemented secure login authentication and database integration for scalability. Foul Language Detection ML Model Mar 2025 – Apr 2025

• Created a machine learning model to detect and filter foul language in user-generated content.

• Used NLP techniques and scikit-learn pipelines to improve detection accuracy.

• Evaluated model performance with precision, recall, and F1-score for robust validation. 1

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