Akash Rajput
Machine Learning EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.