Help & Supportcareers@gravityer.com
Technical Support Engineer with less than a year in SaaS Product Support & Cloud Operations
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Technical Support professional with 0.8 years in delivering SaaS product support via various channels, diagnosing application errors, and restoring service availability. Proficient in managing full ticket lifecycles, monitoring production health with AWS CloudWatch and New Relic, and escalating critical defects. Recently completed an internship focusing on sentiment analysis, text classification, and gaining hands-on experience with AWS services like EC2, S3, EBS, VPC, and IAM.
MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY
BTECH · IT
August 1, 2021 – June 30, 2024
SRI SANGAMESHWARA GOVT POLYTECHNIC
Diploma · EEE
August 1, 2018 – June 30, 2021
BRILLIANT PUBLIC HIGH SCHOOL
X (SSC)
N/A – May 31, 2018
Colosseum Tech Solutions Pvt Ltd
TECHNICAL SUPPORT
September 1, 2025 – Present
India
Infinitude IT Pvt Ltd
INTERNSHIP
June 1, 2024 – August 1, 2024
India
MUSIC RECOMMENDATION SYSTEM USING ARTIFICIAL INTELLIGENCE
June 1, 2026 – Present
Built a music recommendation system using OpenCV to scan and analyze the user's facial expression for mood detection. Generated a list of emotions, utilizing Python logic to recommend songs based on the detected emotion
CLASSIFICATION OF HOTEL REVIEWS USING SENTIMENT ANALYSIS
June 1, 2026 – Present
Developed a web application to predict the overall sentiment of hotel reviews. Performed dataset collection, text preprocessing, and feature extraction using Natural Language Processing (NLP). Built and trained a machine learning model to predict sentiment scores, enhancing the accuracy of review classification.
Programming for everybody (Python)
Michigan University
June 1, 2026 – Present
Responsive Web using HTML5 & CSS3
Udemy
June 1, 2026 – Present
SQL
University of California, Davis
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects in AI/ML and sentiment analysis, coupled with an internship focused on Python and AWS, show a proactive learning attitude and a breadth of technical interests. Their current role as a Technical Support Engineer aligns well with the target role, indicating a clear career path. The certifications in Python, SQL, and web development further demonstrate a commitment to continuous learning and skill diversification, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate exhibits strong soft skills relevant to a Technical Support Engineer role, including problem-solving, clear communication, adaptability, team collaboration, active listening, and time management. Their experience in owning the full ticket lifecycle and maintaining high SLA compliance demonstrates operational fit for a support environment.