Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Large Language Models & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI Engineer with expertise in designing, deploying, and optimizing Large Language Models (LLMs) and end-to-end Machine Learning pipelines. Proficient in Python, scalable AI architectures, and workflow automation. Adept at bridging the gap between complex AI research and scalable enterprise solutions to drive intelligent data-driven decision-making and operational excellence.
Ramachandra College of Engineering
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2020 – June 30, 2024
PsyBE Labs
AI Engineer
March 1, 2025 – May 1, 2026
Hyderābād, Telangana, India
AI Developer – Google Build & Blog Marathon
December 1, 2024 – December 1, 2024
Mumbai, Maharashtra, India
Xavica Software Solutions PVT LTD
Machine Learning Engineer Intern
June 1, 2023 – July 1, 2023
Hyderābād, Telangana, India
Face Recognition Using Siamese Neural Networks
June 24, 2026 – Present
• Engineered a robust biometric authentication model utilizing Siamese Neural Networks to reinforce data security and identity verification for financial ecosystems. • Automated deep learning data preprocessing and augmentation pipelines, effectively reducing false-positive authentication errors by 25%.
Enterprise Knowledge Chatbot Using LLM
June 24, 2026 – Present
• Architected an AI-driven conversational agent leveraging advanced LLMs and NLP techniques for intelligent query resolution, document automation, and workflow optimization. • Integrated a highly accurate PDF text extraction and semantic search system, achieving 100% structured data accuracy for real-time generative responses.
Mental Health Assistant Chatbot Using LLM
June 24, 2026 – Present
• Developed a generative AI support assistant to automate empathetic user interactions and deliver contextually aware, structured responses.
Cultural Fit Analysis
The candidate's project diversity, including face recognition, enterprise chatbots, and mental health assistants, shows a broad interest in applying AI to various domains. The experience at PsyBE Labs and Google (hackathon) aligns well with an AI Engineer role. The academic background in AI & Data Science further strengthens this fit. However, the experience level (1 year) is relatively low for a 'senior' role, which might impact cultural fit expectations for leadership or mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Analytical Thinking, Problem-Solving, Cross-Functional Collaboration, Strategic Decision-Making, and Agile Adaptability. These are crucial for a senior AI Engineer role, suggesting a good operational fit for collaborative and dynamic environments. However, without direct assessment data, the actual proficiency in these areas cannot be fully validated.