Prity Kumari
Hyderabad
Summary
Software Developer with 3+ years of experience, competent in coding, debugging, and problem-solving. Experienced in working with diverse programming languages and frameworks to build robust applications through scripting, testing that enhance user experiences. Consistently delivering high-quality code and innovative features within deadlines. Enthusiastic about continuous improvement and keen to apply my transferable skills to deliver quality software solutions.
Overview
4
4
years of professional experience
Work History
Engineer II- Software Design
Microchip Technology
07.2022 - Current
- Ongoing Projects- GenAI- Polarfire studio Tcl code generator using LLM
- Worked with RAG architecture prototype using open-source models like Llama 3.1, Ollama, and Langchain to process different formats of files
- Worked with Static Timing Analysis tool of our software UI enhancements, like adding Path Range options for different Distribution charts
- Python scripting for whole MS-excel based worksheet of power calculator to dump in yaml format to work as an input for upcoming G6 release
- Developed engine code for new memory blocks in G6 Power calculator
- For Modelling side, used python scripting for Data parsing and generating c++ header/test files
- Contributed to G6 Polarfire studio UI Enhancements, improving the UI dialog using Qt, fixing UI bugs in Project Wizard and Settings, and enhancing error handling, tooltips, and text visibility
- Developed an SVN repository for G5 Power Estimator, supporting new PF/PFSoC devices, and resolved critical customer-reported bugs in G3, G4, G5 Power Calculators by improving its performance with bug fixes and runtime optimizations
- Worked with visual basic code here
Internship Experience
GRROOM Ai-Fashion Tech
07.2021 - 08.2021
- AI Fashion-Tech- Structured 3-layer ANN; fine-tuned parameters to achieve accuracy of 97.3%
- Applied sequential model with Adam optimizer, 'Relu' and trained for 400 epochs
- Object detection of different wears- Footwears, Top wears, Bottom wears, heels, handbags subdivided in training, testing, and data-annotation teams
Data Scientist and Business Analyst
The Sparks Foundation
05.2021 - 06.2021
- Implemented 'K-means Clustering' to recognized riskier regions, utilized coordinates to visualize data using 'Choropleth mapping'
- Applied SVM, Adaboost and Random Forest, achieved test accuracy 96%
- Used Scikit learn, Criteria used Gini Index and compared decision tree model to a random forest
- Structured 3-layer ANN in Tensorflow with dropouts; fine-tuned parameters to achieve accuracy of 97.3% for 'Loan Status Prediction.'
Education
B.Sc. - Physics Hons.
Skills
- C
- Python
- Data Analysis tools
- SQL
- Tableau
- Machine Learning Libraries
- Numpy
- Pandas
- Scipy
- Matplotlib
- Seaborn
- Scikit-learn
- Machine Learning algorithms
- Deep Learning Basics
- ANN
- CNN
- Linux
- DSA Basics
Personal Information
Age: 27
Interests
Table Tennis
Timeline
Engineer II- Software Design
Microchip Technology
07.2022 - Current
Internship Experience
GRROOM Ai-Fashion Tech
07.2021 - 08.2021
Data Scientist and Business Analyst
The Sparks Foundation
05.2021 - 06.2021
B.Sc. - Physics Hons.
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