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CO@chakaliomkar
Aspiring AI/ML engineer building production-ready models and LLM applications for real-world impact.
IndiaI am an AI and Machine Learning engineer focused on building production-ready models, LLM-based applications, and automation pipelines using Python, modern ML frameworks, and cloud tooling. I have practical internship experience deploying models with Docker, integrating ML pipelines with SQL, and improving system performance and maintainability through CI/CD.
My projects include NL-to-SQL automation, a multi-format learning assistant using LangChain and OpenAI, and sentiment-driven stock trend prediction — each delivering measurable improvements in efficiency, accuracy, or learner outcomes. I prioritize pragmatic engineering, reproducibility, and clear API-driven integrations that enable teams to scale ML solutions.
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Work history, roles, and key accomplishments
AI-Variant
Jul 2025 - Present (4 months)
Built and deployed ML models with Python and Flask, improving backend performance by 15% and automating data handling for 500+ records per batch through SQL-integrated pipelines.
National Institute for Micro, Small and Medium Enterprises
May 2024 - Jun 2024 (1 month)
Developed and trained NLP models using NLTK and spaCy, integrated them into a Django backend with REST APIs and deployed a Dockerized chatbot, improving response accuracy by 12% and reducing maintenance by 15%.
Degrees, certifications, and relevant coursework
RBBachelor of Technology, Electrical Engineering
2021 - 2025
Pursued a Bachelor of Technology in Electrical Engineering with coursework and projects focused on machine learning, NLP, and model deployment.
RBPre University Course, Pre-University
2019 - 2021
Completed the Pre-University Course covering foundational science and mathematics preparatory to engineering studies.
Secondary Education, Secondary Education
Completed secondary education with emphasis on core academic subjects prior to pre-university studies.
Software and tools used professionally
IndiaYou can contact chakali and 90k+ other talented remote workers on Himalayas.
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