Help & Supportcareers@gravityer.com
AI Engineer with 2+ years in RAG Pipelines & LLM Integration
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with hands-on experience designing and building large-scale intelligent document processing, retrieval, and multi-agent orchestration systems. Combines classical information retrieval techniques with modern LLM-based reasoning to build production-grade NLP pipelines. Proven ability to debug complex multi-stage systems, tune ranking algorithms, and integrate LLM components for contextual document understanding
SIES College, Mumbai
Master's · Data Science
August 1, 2023 – June 30, 2025
SIES College, Mumbai
Bachelor's · Computer Science
August 1, 2020 – June 30, 2023
iLogicplus Solutions
Junior AI / Software Engineer
June 1, 2025 – Present
India
MGgrid Technologies
Full Stack Developer (Internship)
June 1, 2024 – May 31, 2025
India
Emotion Detection from Chat
January 1, 2025 – December 31, 2025
Built a predictive model to classify emotions from chat text using NLP preprocessing (cleaning, tokenisation, feature extraction) and ML classifiers. Improved model accuracy through systematic feature engineering, hyperparameter tuning, and evaluation using precision/recall/F1 metrics.
AI-Powered Resume Builder
January 1, 2025 – December 31, 2025
Integrated Ollama generative AI models into a React Native + Node.js application for voice/text-based resume generation with AI-driven data structuring.
Cultural Fit Analysis
The candidate's experience spans academic projects, an internship in full-stack development, and a current role as a Junior AI/Software Engineer. This diversity indicates adaptability and a willingness to explore different technical areas. The focus on AI/NLP and LLM-based systems aligns directly with an AI Engineer role, suggesting a strong interest and commitment to the field. The projects demonstrate both individual initiative and the ability to contribute to product development.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a problem-solving mindset, particularly in optimizing RAG pipeline reliability and resolving edge cases. The ability to work on both academic and personal projects suggests initiative and a continuous learning attitude. The role at iLogicplus Solutions aligns well with the target role of an AI Engineer, demonstrating practical application of advanced AI concepts.