Vedika Srivastava

Agentic AI Engineer

Idea by Design Corp. (Stealth Startup)

Boston, USA

Since May 2024

• AI System Architecting: Spearheaded the development of the AI system architecture, leveraging the latest advancements in AI and ML technologies to drive innovation and enhance system performance.
• Strategic Planning and Execution: Collaborated with cross-functional teams to develop and implement strategic plans, ensuring alignment with organizational goals and objectives.
• Product Development: Led the design and development of the Neunet platform, contributing to product innovation and driving organizational growth milestones.
• Team Collaboration: Regularly collaborated with the development team to enhance platform capabilities and achieve company objectives.

AI Engineer I

Time Machine Learning Inc. (Stealth Startup)

Boston, USA

March 2024 - June 2024

• Advanced AI System Architecting: Engineered the VectorDatabase and RAG development utilizing all-mpnet-base-v2 for vector embeddings. My work in prompt engineering and MLOps led to a 25% improvement in system performance and scalability, setting new benchmarks in knowledge creation and operational efficiency.

Teaching Assistant

Boston University College of Arts and Science

Boston, USA

January 2023 - December 2023

• Leadership in Educational Support: Excelled as a Teaching Assistant for "Computational Tools for Data Science," where I led over 30 labs and office hours weekly. My efforts were pivotal in developing the AI and Data Science skills of more than 200 students through hands-on training in Python, sklearn, TensorFlow, and PyTorch.
• Academic Mentorship: Provided personalized mentorship and reviewed assignments on key machine learning algorithms such as K-means, KNN, SVM, and GMM. Offered specialized support on advanced topics including TF-IDF, Word2vec, and GANs, utilizing tools like NLTK, SpaCy, and Gensim to foster deep learning.
• Recognition for Excellence: Received accolades from students and faculty alike for my dedication to enhancing the educational experience. My commitment was reflected in 95% positive evaluations, underscoring my role in significantly boosting students' competencies in data science.

Data Science Fellow

Institute of Global Sustainability

Boston, USA

May 2023 - July 2023

• Worked in close coordination with NREL (National Renewable Energy Laboratory) advisors, benefiting from their guidance and expertise in the field.
• Strategic Energy Planning: Spearheaded the development of a comprehensive energy planning tool, leveraging data from the RECS (Residential Energy Consumption Survey) and Justice40 datasets to inform sustainable energy policies and initiatives.
• Collaborative Data Integration and Analysis: Analyzed and integrated data from RECS, Justice40, and LEAD datasets, unveiling insights that influenced the development of policies addressing energy inequalities and justice issues.
• Innovative Data Visualization: Developed 20+ dynamic and interactive data visualizations using Plotly Dash, enhancing the tool's utility for strategic energy planning and policy making, and facilitating informed decision-making among stakeholders.
• Research and Presentation: Successfully presented research findings to over 50 stakeholders, effectively communicating the critical implications of sustainable energy planning and policy based on comprehensive data analysis.

SDE Research Intern

IBM Integrated Software Labs

Pune, IN

January 2022 - July 2022

• Framework Optimization and Migration: Led the successful migration and optimization of the Quarkus framework for an IBM Java-based microservice, achieving a notable 50% reduction in resource usage and a 13% increase in overall efficiency.
• Product Enhancement through Cross-Functional Collaboration: Coordinated with a cross-functional team in Singapore to upgrade IBM Security Verify, achieving a 50% reduction in resource usage and a 13% increase in operational efficiency, directly contributing to enhanced product marketability and customer satisfaction.
• Led efforts to optimize system performance and scalability. These improvements contributed to higher customer satisfaction and cost savings for clients.

NLP Research Intern

Tech Mahindra Maker's Lab

Pune, IN

October 2020 - January 2021

• Pioneering Voice Bot Development: Developed a novel voice bot in Sanskrit, integrating data analysis and web scraping across 20+ data sources with MySQL database operations. This groundbreaking project demonstrated the potential for leveraging technology to preserve and promote linguistic diversity.
• Algorithmic Excellence and Backend Optimization: Conducted comprehensive research on over 11 algorithms, optimizing backend functionalities for enhanced performance. The project showcased substantial improvements in model accuracy and scalability, contributing to over 1500+ languages.
• Contributed to over 1500+ languages, showcasing substantial improvements in model accuracy and scalability.