Aditi Wikhe

Software Engineer

New York, New York, United States3 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Master's in Computer Science from UIUC.
Hands-on experience with Large Language Models.
Developed innovative solutions for data processing.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on SaaS and Healthcare applications.

Contact

Skills

Core Skills

Machine LearningData AnalysisNatural Language Processing

Other Skills

OpenAILarge Language ModelsData AnalyticsPrompt EngineeringAWSData ProcessingPythonForecastingArtificial Intelligence (AI)Amazon Web Services (AWS)Continuous LearningC++JavaC (Programming Language)Ethical Hacking

About

I am a graduate with a Master’s in Computer Science from the University of Illinois Urbana-Champaign, bringing hands-on experience and innovation to the forefront. Having graduated in December’24, I am currently employed as a Software Developer at Capgemini in New York, contributing to innovative solutions and staying at the cutting edge of technology. Before joining Capgemini, I served as a Machine Learning Intern at Synechron in Charlotte, NC, leveraging OpenAI and implementing Large Language Models like Vicuna, LLaMA, and WizardLM. This role involved enhancing modeling and data analytics capabilities, utilizing prompt engineering techniques for optimized user experience. Prior to that, at Veritas Technologies LLC, I played a key part in Natural Language Processing, streamlining document categorization. During a 6-month stint at Capgemini Technology Services India Ltd, I contributed to a Machine Learning project, providing predictive analytics for the spread of COVID-19. My academic journey includes earning a Bachelor’s in Computer Science from Pune Institute of Computer Technology, India.

Experience

3 yrs 1 mo

Total Experience

1 yr 6 mos

Average Tenure

2 yrs 4 mos

Current Experience

Capgemini

3 roles

Software Developer II

Jan 2025 – Present · 1 yr 4 mos · New York City Metropolitan Area

Software Developer

Jan 2024 – Jan 2025 · 1 yr · New York City Metropolitan Area

Rise Leadership Program

Aug 2023 – Aug 2023 · 0 mo · Houston, Texas, United States · On-site

Synechron

Machine Learning Intern

May 2023 – Oct 2023 · 5 mos · Charlotte, North Carolina, United States

Leveraged OpenAI, utilizing Large Language Models such as Vicuna, LLaMA, and WizardLM to enhance modeling and data analytics capabilities, employing prompt engineering techniques to ensure the use of polite and respectful language.
Developed an advanced ppt to md conversion tool, ensuring superior performance and accuracy compared to pptx2md library, streamlining data processing for GenerativeAI like LLMs.
Assisted in optimizing data pipelines and integration processes, utilizing AWS cloud computing tools for efficient big data handling.

OpenAILarge Language ModelsData AnalyticsPrompt EngineeringAWSMachine Learning+1

Veritas technologies llc

Project Intern

Aug 2021 – May 2022 · 9 mos · Pune, Maharashtra, India

Worked on a Predictive Coding and Technology Assisted Review (TAR) project to develop an application that used automation and various Machine Learning algorithms to review documents to reduce the number of documents to be manually examined thus saving thousands of hours, money and resources.

PythonData ProcessingNatural Language ProcessingMachine Learning

Capgemini

Intern

Jul 2020 – Dec 2020 · 5 mos · Pune, Maharashtra, India

Worked on a Machine Learning Project that revolved around the COVID spread wherein the factors affecting the COVID spread were predicted and predictive and prescriptive analytics to curb the spread were provided.
Analyzing the present condition in India
Assess if the trend is similar to S.Korea/Italy/Wuhan
Exploring the worldwide data
Forecasting the worldwide COVID-19 cases using Prophet

PythonMachine LearningForecasting

Crysagi systems pvt.ltd.

Intern

Mar 2018 – Mar 2020 · 2 yrs · Pune, Maharashtra, India

Crysagi Systems provide analytics and data science services and solutions like
recommendation engines, predictive maintenance, intelligent chatbots, and intelligent
automation using big data, machine learning, and artificial intelligence to its customers in the
US and Europe.
Worked on a few small Data Analysis projects
Worked as a Data Science Intern in projects on Early Prediction of kidney diseases to reduce life-long treatment and the cost of kidney dialysis and Using unstructured health data and medical records of patients to present it as a prompt, easy-to-refer, and reliable information for doctors and ER departments.
Worked as a Research Intern on Using unstructured and alternative data such as photos, weather etc. to anticipate property price fluctuations.

PythonData Analysis