Mar 2024 – Jul 2024 · 4 mos · Chennai, Tamil Nadu, India · Hybrid

• Working on a project to create a new tool that spots and stops transactions happening outside of Poshmark,
• keeping the platform safe and following rules.
• Analyzed data to find key signs of off-platform transactions and developed new data points to help spot these activities.
• Trained a Model to detect the signs of off-platform transactions and leveraged the power of LLM's to get even more higher precision than the trained model.

May 2023 – Nov 2023 · 6 mos · Tiruchirappalli, Tamil Nadu, India · Hybrid

• Enhanced content suggestion precision using machine learning techniques (Decision Trees, SVM, AdaBoost) and similarity metrics (TF-IDF, Itakura-Saito Distance).
• Applied LSTM, RNN, XGBoost, and KNN for handling various content types, boosting the relevance and variety of recommendations.
• Built a robust recommendation system offering customized content picks, greatly enriching user interaction.

May 2023 – Sep 2023 · 4 mos · Hyderabad, Telangana, India · Hybrid

• Developed and deployed a machine learning model using Random Forest to predict optimal cell tower locations in rural India for Jio.
• Achieving over 90% accuracy and significantly enhancing network coverage and service quality.
• Transitioned web application from Python to React JS, enhancing client-side rendering efficiency resulted in reduction of 50% in server load, 30% faster load times and improved scalability to manage increased user traffic by 25%.
• Streamlined data architecture by consolidating multiple APIs into one for enhanced interactivity; achieved a 40% reduction in data processing time and improved system latency by 20%.

Mar 2023 – Jul 2023 · 4 mos · Bengaluru, Karnataka, India · Remote

• Worked on a collaborative project with Sony Research India and IIT Patna
• Developed a movie recommendation system by combining LDA and Transformers for metadata classification, enhanced with TF-IDF modeling and NLP techniques. This led to a 40% increase in user engagement.
• Enhanced recommendation accuracy using NCF and using SimRank for semantic similarity, which resulted in a 30% improvement in user satisfaction through personalized recommendations.

Jan 2023 – Apr 2023 · 3 mos · United States · Remote

• Developed an innovative Visual Studio Code (VS Code) extension, "Code Finisher", which revolutionizes coding efficiency and accuracy. Leveraging cutting-edge deep learning models and Git integration, this tool provides an unprecedented 95% accuracy in code suggestions, significantly enhancing developer productivity and collaboration.

Jul 2022 – Aug 2023 · 1 yr 1 mo · Tamil Nadu, India · On-site

• Oversaw a comprehensive database of over 25,000 student records, generating revenue of Rs. 300 per student for the website.
• Executed counseling processes using the LAMP stack and managed server operations on AWS EC2 Ubuntu. and mentored 4 juniors in technical procedures.
• Optimized 500+ lines of code for the lateral entry process and refined 1000+ lines for the college and Admin module.
• Engineered and deployed an automated ranking module, achieving a 40% increase in efficiency and a 25% decrease in processing time.

Mar 2022 – Jun 2022 · 3 mos · Tamil Nadu, India · Remote

• During my tenure as a Digital Marketing Intern at GoodSpace, I was immersed in the fast-paced world of digital marketing, focusing on creating engaging content for social media platforms. This role enabled me to enhance my marketing skills, learn cutting-edge content creation strategies, and understand the dynamics of digital engagement in depth.