Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Machine Learning & Data Annotation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking a challenging position in a reputable company where I can apply my logical thinking skills, working knowledge of data structures and algorithms, solid foundation in Java, basic knowledge of Python, and growing proficiency in artificial intelligence and machine learning. I aim to contribute effectively to the organization's success while continuously enhancing my skills and knowledge in the field.
Kalasalingam Academy of Research and Education
B.TECH · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Narayana Junior College, Nellore
HSC · Physics, Chemistry, & Mathematics
June 1, 2019 – May 31, 2021
Wisdom E.M High School, Nellore
SSC
June 1, 2018 – May 31, 2019
Adept Talent Acquisition
Data Annotator | AI \ LLM Quality
May 1, 2025 – Present
India
Safe Step: Android Application for Women's Safety
January 1, 2024 – November 1, 2024
Engineered a real-time anomaly detection pipeline using accelerometer + GPS sensor fusion, achieving reliable emergency alert triggering with sub-second response latency. Designed and validated the algorithm on 200+ simulated movement patterns, iterating on false-positive reduction to improve detection precision. Presented findings at an international conference (ICMEET-2024), demonstrating research-grade analytical and communication skills.
Anime Face Generation using Generative Adversial Networks
January 1, 2024 – April 1, 2024
Designed and trained a GAN (generator + discriminator) on a large-scale anime dataset, producing high-diversity, high-fidelity synthetic face outputs. Analyzed training stability metrics (loss curves, discriminator accuracy) to tune adversarial training and prevent mode collapse.
Brain Tumor Detection in MRI Images
January 1, 2023 – December 1, 2023
Built an end-to-end CNN pipeline - preprocessing, segmentation, feature extraction, and classification — achieving multi-class tumor detection on MRI scans. Applied image processing techniques to standardize dataset quality, improving model generalization across varied scan conditions.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI/ML, aligning well with an AI Engineer role. Their experience in data annotation for LLMs and computer vision shows practical engagement with AI data workflows. The diversity of projects (anomaly detection, generative models, medical imaging) indicates a broad curiosity and ability to apply AI across different domains. The leadership experience in a data annotation team suggests a proactive and responsible individual, which contributes positively to cultural fit.
Soft Skills & Operational Fit
The candidate exhibits strong soft skills such as critical thinking, problem-solving, analytical thinking, and adaptability, as listed in their resume. Their experience leading a team of 10 data annotators further highlights leadership and team collaboration abilities. These traits suggest a good operational fit for roles requiring both technical execution and collaborative problem-solving within an AI development environment.