AI Engineer with 2+ years in Large Language Models & MLOps
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Assessing your cultural and operational fit
AI and Machine Learning Engineer with 2+ years of hands-on experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), OCR-driven document understanding, NLP, and semantic search. Experienced in building end-to-end LLM applications using GPT, BERT, T5, LLaMA, and Mistral, developing scalable ML pipelines, and deploying Flask-based services on AWS and GCP using Docker and Kubernetes.
Dr. NGP Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2020 – June 30, 2024
KGISL Technologies Pvt Ltd
AI/ML Developer
April 1, 2024 – Present
India
Wetring Infotech Pvt Ltd
Software Developer
August 1, 2023 – December 31, 2023
India
Semantic Search Engine
June 24, 2026 – Present
Built an embedding-based semantic search system using BERT and T5 with sub-second retrieval performance.
LLM Fine-Tuning Pipeline
June 24, 2026 – Present
Automated dataset preparation, training, evaluation, and model versioning using MLflow, reducing iteration cycles by 40 percent.
RAG Chatbot System
June 24, 2026 – Present
Developed an LLaMA + FAISS based RAG chatbot improving contextual answer accuracy by 30 percent.
Cultural Fit Analysis
The candidate's experience in developing diverse AI applications (chatbots, semantic search, summarization, fine-tuning pipelines) and working with various technologies (AWS, GCP, Docker, Kubernetes, multiple LLMs) suggests adaptability and a broad interest in the AI domain. The quantifiable achievements in projects and professional experience indicate a results-oriented approach. The personal projects complement professional experience, showing initiative and continuous learning, which are positive indicators for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with product and engineering teams, suggesting good teamwork and communication skills. The project descriptions highlight problem-solving and optimization efforts (e.g., reducing iteration cycles, improving accuracy, reducing latency), which are crucial for operational fit. However, without specific assessment data, a deeper analysis of soft skills like leadership, conflict resolution, or adaptability is not possible.