Open to opportunities

Harshada Deshingkar

@harshadadeshingkar

Message

AI & Data Science student building reliable LLM applications and ML systems with proven research impact.

India

Message

What I'm looking for

I seek roles building and deploying production-ready ML/AI systems—especially LLM/NLP projects—with collaborative teams that value measurable impact and research-driven solutions.

I am a BTech student in Artificial Intelligence and Data Science with hands-on experience building and optimizing LLM-based applications, conducting supervised fine-tuning, and engineering evaluation frameworks for production-facing solutions. I have published papers and patents for applied systems—including OCR and CNN-based solutions—and delivered ML projects with high accuracy and tangible efficiency gains.

I combine technical depth in Python, machine learning, deep learning, and data engineering with leadership experience in student organizations and project ownership. I focus on reliable, scalable AI systems, pragmatic evaluation, and delivering measurable improvements for users and stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Data Science Intern

Current

Wolters Kluwer India Pvt. Ltd.

Jul 2025 - Present (3 months)

Built and optimized LLM-based applications and evaluation frameworks, conducted supervised fine-tuning on Qwen models, and improved model reliability and performance for client-facing solutions.

Large Language Models Prompt Engineering Python Model Evaluation Gemini)OpenAI AI Research

Education

Degrees, certifications, and relevant coursework

Vishwakarma Institute of Technology

Bachelor of Technology, Artificial Intelligence and Data Science

2022 -

Grade: CGPA 9.04 (till previous semester); SGPA 9.58 (6th semester)

Activities and societies: Projects in ML, LLMs, and web systems; internships and patents; IEEE student branch and multiple student leadership roles.

Pursuing Bachelor of Technology in Artificial Intelligence and Data Science with a current CGPA of 9.04 (till previous semester) and strong semester performance (SGPA 9.58).