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Machine Learning Engineer with 2+ years in Generative AI & AWS
As a Machine Learning Engineer with 2 years of experience, I specialize in implementing and optimizing machine learning and deep learning algorithms. I am proficient in manipulating and analyzing complex datasets using Pandas, Seaborn, and Matplotlib for exploratory data analysis. I have hands-on experience deploying production-ready models using AWS cloud services and Docker containers, enabling scalable, reliable, and cost-effective solutions. I have experience working with Generative AI frameworks such as LangChain and large language models (LLMs) to build intelligent applications for automating complex language tasks and enhancing decision-making systems.
Vikrant Institute of Technology and Management
B.Tech · Bachelor of Technology
August 1, 2019 – April 1, 2023
Advantal Technologies Pvt. Ltd.
AI/ML Engineer
February 1, 2026 – Present
Indore, Madhya Pradesh, India
Saanviinnovations Pvt. Ltd.
Machine Learning Engineer
July 1, 2023 – September 1, 2025
India
Sentiment Analysis Using Machine Learning
June 24, 2026 – Present
Collected and preprocessed text data, selected features, trained ML algorithms, and analyzed sentiment of reviews.
Aspect-Based Product Review Generation using GPT-2
June 24, 2026 – Present
Preprocessed product review datasets and trained GPT-2 to generate targeted, aspect-based review texts.
Health Symptom Chatbot using T5-LLM
June 24, 2026 – Present
Downloaded a medical dataset, performed preprocessing (tokenization, embedding), and trained a T5 generative model to suggest possible medical conditions based on user-input symptoms.
Python Programming
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sentiment analysis to multi-modal RAG and AR/VR applications, indicates a broad interest and ability to work across different domains within AI/ML. Their experience with both established ML/DL frameworks and cutting-edge Generative AI/LLMs shows a proactive approach to learning and adopting new technologies. The roles held align perfectly with the target role of Machine Learning Engineer, suggesting a strong cultural fit for an organization focused on advanced AI development.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, adaptability, and time management as soft skills. Their project descriptions, particularly the development of complex multi-modal RAG platforms and AR/VR applications, suggest strong problem-solving and critical thinking abilities. The use of various technologies and frameworks indicates adaptability. The structured project descriptions imply good time management and operational fit for a senior role requiring end-to-end project ownership.