Available to hire
Hi, I’m Sakshi Mahadik, a passionate computer science graduate currently pursuing my Master’s degree. I love working on machine learning and AI projects, especially those involving natural language processing and cloud computing. My internships in data science and AI engineering have helped me develop solid skills in building scalable, optimized solutions with large language models and APIs.
I’m always eager to learn new technologies and improve my craft. Whether it’s developing chatbots, optimizing ML pipelines, or migrating frontend interfaces, I enjoy tackling challenging problems and contributing to impactful projects.
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Javanese
Advanced
Work Experience
Data Science Intern at CCC Intelligent Solutions
May 31, 2025 - July 18, 2025Built LLM pipelines to extract document-specific information in JSON format from OCR texts of documents from AWS S3, and used DSPy and TextGrad tools to enhance the accuracy of information retrieval. Applied prompt optimization and engineering techniques like zero-shot, few-shot, and Chain-of-Thought prompting to improve model consistency and output quality. Integrated optimized LLM pipelines into AWS Lambda for scalable, serverless deployment. Implemented an evaluation framework for LLM predictions by comparing structured Pydantic models of ground truth and outputs, returning detailed metrics (accuracy, error, missing) for each field, including support for fuzzy string comparisons on semi-structured text fields. Benchmarked and optimized a Llama3-based parser using DSPy, outperforming GPT-4 by reducing per-request cost by ~63% and 99th percentile latency by ~57%, leading to total annual savings of ~$11,000. Developed a Named Entity Recognition (NER) LLM pipeline using LangChain to ext
AI Engineering Intern at ABB
August 31, 2024 - July 18, 2025Built an LLM-powered chatbot using the Python Langroid framework and LLM function calling to assist customers in identifying and recommending motor products, leveraging a fine-tuned model trained on synthetic datasets generated from preprocessed product catalogs. Utilized Sentence Transformers (SBERT) with TF-IDF to accurately identify product names based on user-provided descriptions, and trained the SBERT model to generate better embeddings for product matching. Built backend APIs using Django REST Framework to serve LLM responses and product recommendations.
Software Engineer Intern at JPMorgan Chase
July 31, 2022 - July 18, 2025Migrated frontend interface from Angular to React for over 50 microservices, using React, TypeScript, and CSS. Developed CI/CD pipelines on Jenkins to automate testing and deployment workflows across microservices. Collaborated with cross-functional teams to understand microservices and ensure accurate frontend integration. Performed unit and regression testing on React components using Jest and Jest Image Snapshot to ensure visual consistency, achieved 85% code coverage while detecting and resolving UI bugs to improve application reliability.
Education
Bachelor of Technology at University of Mumbai
January 1, 2019 - May 31, 2023Qualifications
Industry Experience
Software & Internet, Financial Services, Manufacturing, Retail, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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