Divya Mehta

Standardized data using TF-IDF, HDBSCAN, and fuzzy matching; used spaCy to extract nouns and verbs for context-aware phrase relevance; built an automated pipeline with Airflow to process new data on schedule. Developed an AI-driven solution in Python and React to handle user queries by integrating knowledge graph context into a language model and auto-rendering relevant UI components like charts by mapping query intent to backend context. Designed a React front end with session-aware data editing and user-specific tracking using React Context; implemented backend APIs to classify and store only unique entries per user in a normalized format.

Software Engineer at ByteGenie (2024-10 – Present)

• Standardized data using TF-IDF, HDBSCAN, and fuzzy matching; used spaCy to extract nouns and verbs for context-aware phrase relevance; built an automated pipeline with Airflow to process new data on schedule.
• Developed an AI-driven solution in Python and React to handle user queries by integrating knowledge graph context into a language model and auto-rendering relevant UI components like charts by mapping query intent to backend context.
• Designed a React front end with session-aware data editing and user-specific tracking using React Context; implemented backend APIs to classify and store only unique entries per user in a normalized format.
• Built a knowledge graph to map relationships across database entities by designing efficient nodes and edges; developed a front-end to convert user nlp queries into Cypher queries, improving query speed by 10 percent and enabling pattern discovery.
• Tracked user sessions on the front-end using React Context; built Flask API endpoints to log session metadata into a PostgreSQL table, enabling automatic usage monitoring.
• Modeled Python APIs to capture and log user interaction events in real time.

SWE Intern at JPMORGAN CHASE & CO. (2024-01 – 2024-06)

• Collaborated in the creation of a document unification platform, driving a 10 to 20 percent efficiency boost by streamlining workflows and unifying disparate systems into a single interface that relied on backend services in Springboot and Flask.
• Created intricate back-end APIs managing more than 10 distinct data entities; designed comprehensive synonym handling yielding significant improvements in overall relevance of retrieved information.
• Engineered an AI-driven solution using Python and Flask that streamlined automated user query resolution by integrating contextual data points into a language model, achieving a 70 to 80 percent accuracy.
• Advanced techniques were applied, including RAG and BM-25, to refine data collection, achieving about 20 percent increase in data accuracy.

SWE Intern at JPMORGAN CHASE & CO. (2023-06 – 2023-07)

• Restructured the codebase by optimizing 5 modules and enhancing test coverage, leading to a reduction in production bugs within the complex React, Redux, and Spring Boot ecosystem.
• Addressed and resolved critical bugs involving intricate backend challenges and Redux state management, significantly improving project stability and functionality, leading to the completion of key milestones 15 days ahead of schedule during a crucial launch period.

Coding Teacher at Camp K12 (2021 – 2023)

• Designed curriculum in python and javascript for building foundational coding concepts of students.

B.Tech in Information Technology – Manipal University Jaipur (2020 – 2024)