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Dimpi KaidwalDK
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Dimpi Kaidwal

@dimpikaidwal

Aspiring data scientist building ML/LLM systems and simulation automation—seeking internship to deliver production-ready AI.

India
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What I'm looking for

I’m looking for an AI/ML, Data Science, or Software Engineering internship where I can build and deploy production-grade models and pipelines—using Python, ML, and cloud tools—while contributing to measurable improvements in performance, efficiency, and decision-making.

I’m a pre-final-year B.Tech student at NIT Delhi (ECE) with hands-on experience building ML pipelines, LLM-powered applications, and engineering-simulation automation. Through two research/data-science internships, I deployed production-grade AI systems and developed end-to-end data preprocessing and analysis workflows that improved research-ready data integrity and speed.

In my NIT Delhi internship, I automated Li-ion battery thermal simulations by integrating Python with ANSYS Fluent/CFX, eliminating manual setup steps and improving throughput. I also built optimization workflows using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), achieving a 12% improvement in heat dissipation efficiency—then programmatically evaluated cooling configurations to reduce design-iteration cycles. I bring this same engineering mindset to applications like my AI Ticket Resolution System, where I created an ML classifier and deployed production REST APIs with sub-300 ms latency.

Experience

Work history, roles, and key accomplishments

ND

Research Intern

National Institute of Technology Delhi

Jun 2025 - Jul 2025 (1 month)

Automated Li-ion battery thermal simulations by integrating Python with ANSYS Fluent/CFX, removing manual setup steps and speeding simulation throughput. Built GA and PSO workflows to tune thermal management parameters, improving heat dissipation efficiency by 12% and enabling data-driven cooling strategy selection.

IK

Data Science Intern

IDEAS Foundation, ISI Kolkata

May 2025 - Jun 2025 (1 month)

Built end-to-end Python preprocessing and analysis pipelines to clean, merge, and transform multi-source datasets, ensuring research-ready data integrity. Automated dataset ingestion, validation, and consistency checks across the research lifecycle and delivered structured outputs supporting ongoing research.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Delhi logoND

National Institute of Technology Delhi

Bachelor of Technology (B.Tech), Electronics & Communication Engineering

2023 -

Grade: CGPA: 6.62 / 10

Pursuing a B.Tech in Electronics & Communication Engineering. Building ML pipelines and LLM-powered applications alongside coursework in core computing subjects.

RD

R.S.K.V, Laxmi Nagar, Delhi

Class XII, Higher Secondary Education

2022 - 2022

Grade: 80%

Completed Class XII (Higher Secondary) education. Scored 80% as reported in the education details.

GD

GGSS Rani Garden, Delhi

Class X, Secondary Education

2020 - 2020

Grade: 80%

Completed Class X (Secondary) education. Scored 80% as reported in the education details.

Tech stack

Software and tools used professionally

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