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Dikshita Pimpale

@dikshitapimpale

Information Technology student building AI/ML, cloud, and web applications, including a BERT-powered employability predictor with 93% accuracy.

India

Message

What I'm looking for

I'm interested in solving real-world problems through technology, particularly in AI/ML, cloud engineering, and full-stack development.

At HEProAI, I built and deployed a serverless AWS application using Lambda, API Gateway, and S3. I also developed Python REST APIs with IAM authentication and monitored activity using CloudWatch.

My projects include CareerLens, an employability prediction system using BERT, LSTM, and Gradient Boosting that achieved 93% accuracy. I added SHAP-based explanations to identify employability factors for each student.

I also created MedRAG-AI, a medical chatbot using RAG and Pinecone, and built a heart disease prediction web app. I’m studying Information Technology at Vidyalankar Institute of Technology, where I’ve earned a 9.53/10 CGPA.

Experience

Work history, roles, and key accomplishments

Cloud Engineering Intern

HEProAI

Nov 2025 - Jan 2026 (2 months)

Built and deployed a serverless AWS application using Lambda, API Gateway, and S3, eliminating manual infrastructure management by 100%. Developed Python-based REST APIs with IAM authentication for 3 user roles and monitored application activity using CloudWatch dashboards.

AWS Lambda API Gateway S3 IAM Cloudwatch Python Serverless Architecture

ML in Python Trainee

L&T Skill Trainers Academy

Jun 2025 - Jun 2025 (0 months)

Trained and evaluated 2+ ML models including Logistic Regression and Random Forest, improving prediction accuracy by up to 15% through feature engineering and tuning. Analyzed customer churn and housing datasets with 10,000+ records to uncover trends and present insights on end-to-end ML workflows.

Python Machine Learning Logistic Regression Random Forest Feature Engineering EDA

Web Development Intern

Octanet Services Pvt. Ltd.

Jan 2025 - Feb 2025 (1 month)

Built 3+ responsive web interfaces with cross-device compatibility; reduced page load time by nearly 20% through frontend optimization. Designed 8+ reusable UI components and streamlined navigation flow, cutting repetitive frontend code by around 30%.

HTML CSS JavaScript React PostgreSQL