C Machine Learning Engineer AI Models Training with less than a year in LLMs & Prompt Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented AI LLM Analyst with experience in data annotation, AI response evaluation, and quality assurance for Large Language Models (LLMs). Skilled in dataset validation, prompt analysis, identifying inaccuracies in AI-generated content, and supporting AI model improvement using Python and machine learning concepts.
Santhiram Engineering College
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Rao's Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Swami Vivekananda Vidyalaya
Secondary Education
N/A – May 31, 2019
Innodata
Analyst - AI LLM
January 1, 2026 – Present
India
Smart Sensors & Deep Learning for Recognizing Rehabilitation Exercises
April 1, 2025 – April 1, 2025
Developed an AI-based rehabilitation exercise recognition system using sensors and deep learning techniques. Implemented CNN and LSTM models in Python to identify body movements such as squats, curls, and presses. Provided real-time feedback to improve exercise accuracy and remote patient monitoring.
Internship on AIMERS
January 1, 2024 – January 1, 2024
Built image classification and real-time object detection models using YOLO and Google Teachable Machine. Developed gesture recognition applications using the Google MediaPipe framework. Created interactive dashboards and visual reports using Power BI.
Certified in Artificial Intelligence Internship
AIMERS Society
June 1, 2026 – Present
Certified in Web Full Stack Development Virtual Internship
Unknown
June 1, 2026 – Present
Certified in Portfolio Website Workshop
LINTA Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and experience show a strong interest in AI and machine learning, which aligns well with an AI-focused company culture. The academic project on rehabilitation exercises and the internship on AIMERS demonstrate initiative and a proactive approach to learning and applying AI concepts. However, the breadth of experience outside of annotation and specific model application is limited, which might require further development for broader cultural contributions in a senior engineering role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with QA teams and project managers, indicating good team collaboration skills. The role as an AI LLM Analyst requires attention to detail and adherence to guidelines, which aligns with operational fit for data-intensive AI roles. However, the experience level is entry-level, which might require more guidance in a senior role.