AI Engineer with less than a year in Machine Learning and Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated AI/ML Developer with foundational hands-on experience in Python, Machine Learning, Deep Learning, and Generative AI. Currently working on an LLM-powered chatbot project, gaining practical exposure to LangChain, RAG pipelines, prompt engineering, and conversational AI. Eager to apply and grow AI skills to build real-world intelligent applications.
SRCOEM, Nagpur
B.Tech · Electronics & Communication Engineering
December 1, 2021 – May 1, 2024
Talentrise Technokrate Pvt Ltd
AI/ML Developer
June 1, 2026 – Present
Nagpur, Maharashtra, India
Click2Cloud
Data Science Intern
September 1, 2024 – January 1, 2025
Nagpur, Maharashtra, India
Neuro Trajectory Engine — LLM-Powered Chatbot
June 1, 2026 – Present
Developing a Gen AI chatbot using LLMs and LangChain concepts, with exposure to RAG and vector database-based context retrieval.
Fertilizer Recommendation System — Random Forest
September 1, 2024 – January 1, 2025
Built a crop recommendation ML model using Random Forest; handled data preprocessing, model training, and evaluation using Scikit-Learn and Pandas.
Plant Disease Detection — CNN + Deep Learning
January 1, 2024 – April 1, 2024
Built a CNN-based image classifier to detect and classify plant diseases; performed data annotation and model training using TensorFlow.
Data Science & Machine Learning
Coursera
June 15, 2026 – Present
Data Engineering
Coursera
February 1, 2026 – Present
GenAI Fundamentals
Udemy
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic CNN-based image classification to professional LLM-powered chatbots and ML recommendation systems, indicates a broad interest in AI/ML applications. Their current role as an AI/ML Developer aligns well with the target AI Engineer role, suggesting a strong interest and commitment to the field. The pursuit of various certifications also shows initiative and a growth mindset, which are positive indicators for cultural fit within an innovative tech environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and skill development, as evidenced by multiple certifications and continuous work on AI/ML projects. Their professional summary highlights eagerness to apply and grow AI skills, suggesting a good operational fit for a dynamic AI engineering environment. However, the resume does not provide explicit details on collaboration or problem-solving approaches, limiting a deeper assessment of soft skills.