Shivani Modi

AI Researcher

Sunnyvale, California, United States8 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Pioneered multi-agent frameworks for LLMs.
  • Delivered multimillion-dollar enterprise solutions.
  • Renowned leader in ethical AI integration.
Stackforce AI infers this person is a leader in Artificial Intelligence with a focus on enterprise solutions and innovative AI applications.

Contact

LinkedIn

Skills

Core Skills

Generative AiDeep LearningPredictive AnalyticsArtificial Intelligence (ai)

Other Skills

AirFlowC++Data ScienceDeep Neural Networks (DNN)KubeFlowLangChainLeadershipLinuxLlamaIndexMLOpsManagementMathematical ModelingMicrosoft OfficeNatural Language Processing (NLP)OpenCV

About

Shivani Modi is a distinguished leader in the field of artificial intelligence, specializing in machine learning and large language models (LLMs). As the Head of AI and Machine Learning at Konko AI, Shivani has been pivotal in pioneering multi-agent frameworks that enhance the capabilities of LLMs, driving innovation and efficiency in AI applications. With a robust background that includes roles at IBM, SAP, Amazon, and C3 AI, Shivani has spearheaded innovations that delivered enterprise solutions with multimillion-dollar impacts. Her expertise spans across deep learning, natural language processing, and the scalable optimization of AI models. Shivani holds a Master’s degree from Columbia University, where she focused on machine learning, further solidifying her technical foundation. Shivani is renowned not only for her technical prowess but also for her leadership in the AI community. She has been instrumental in organizing hackathons, mentoring up-and-coming talents, and delivering impactful keynotes that bridge the gap between AI theory and its practical applications. Her commitment extends to ethical AI use, advising on AI integration for public services in Santa Clara County. At Konko AI, Shivani leads initiatives to empower developers and product teams with tools to select and scale LLMs effectively, focusing on security, reliability, and cost-efficiency. She is also involved in building a multi-agent framework for AI agents powered by Generative AI. Shivani’s technical skills are extensive, including proficiency in Python, R, and SQL, and expertise in frameworks like TensorFlow, PyTorch, and Keras. She is skilled in MLOps tools such as AirFlow and KubeFlow, and familiar with LLM tools and frameworks like LangChain and LlamaIndex.

Experience

Meta

Senior Machine Learning Engineer

Dec 2024 – Present · 1 yr 3 mos · San Francisco Bay Area

  • Core ML at Ads
  • LLM for Retrieval and Ranking
  • Ads Agent

Forbes technology council

Official Member

Jun 2024 – Present · 1 yr 9 mos

Konko ai

Founding Member

Jun 2023 – Dec 2024 · 1 yr 6 mos

  • Creating a unified multi-agent conversation framework for autonomous AI agents, serving as a high-level abstraction for utilizing foundation models.
Generative AIDeep Learning

Packt

Editorial Board Member - Technical Reviewer

Mar 2023 – Dec 2024 · 1 yr 9 mos

Generative AI

C3 ai

Data Scientist II

Jun 2022 – Apr 2023 · 10 mos · Redwood City, California, United States · On-site

  • Ideated an AI-enabled predictive maintenance solution for a global top 5 pharmaceutical company; Used codified domain expertise to generate failure warnings 3 days in advance.
  • Deployed anomaly detection models on high-frequency sensor data, and low-latency cron jobs for real-time data handling
  • Conducted data science workshops for client’s team, transforming equipment modeling methods, and enabling rapid modeling of complex manufacturing equipment. (Timeseries data)
Generative AIPredictive AnalyticsArtificial Intelligence (AI)Deep LearningPredictive Modeling

Columbia university department of psychiatry and new york state psychiatric institute

Researcher

Jan 2021 – Jan 2021 · 0 mo

  • Working in Mark Ansorge’s lab. The project investigates how serotonin alterations in early life shape emotions during the adolescent period.
Artificial Intelligence (AI)Deep Learning

Ibm

Senior Data Scientist

Jan 2021 – Jan 2021 · 0 mo · New York, New York, United States

  • Built LDA topic models to optimize customer experience analysis tool; increased efficiency by 30%
  • Employed statistical models and A/B testing to determine representative sampling methodology.
Artificial Intelligence (AI)Deep LearningNatural Language Processing (NLP)

Sap

Data Scientist

Jul 2018 – Dec 2020 · 2 yrs 5 mos · Bangalore

  • Devised NLP engine chatbot plugins for Contract-to-Revenue automation, streamlining 40% of processes.
  • Designed model architecture to digitize legal contract PDF files, saving 300k Euros and 10,000 person-hours. Nominated for SAP’s highest employee recognition Award. (Docker, Transformers, OCR, unstructured data).
  • Deployed ML production pipelines for document-review workflow, improving review time by 85%. (CI / CD)
  • Modeled an RNN with LSTM cells to predict glucose levels with 90% sensitivity from sensor data.
Artificial Intelligence (AI)Deep LearningNatural Language Processing (NLP)

Sap ariba

Machine Learning Engineer

Jan 2018 – Jan 2018 · 0 mo · Bangalore

  • Formulated and implemented a recommendation system by using one-shot learning, deep learning and NLP stack for service requisition process. (Siamese Network, word2vec, LSTM)
  • Designed an offline module to compute Fspace representation and reduced runtime to 2 seconds by using broadcasting.
  • Integrated the model in the guided buying system using AngularJS, Maven, and REST API calls.
Artificial Intelligence (AI)Deep LearningNatural Language Processing (NLP)

Amazon

Data Scientist

Jan 2017 – Jan 2017 · 0 mo · Bengaluru Area, India

  • Project on Access and SQL execution about collection, retrieval, store, complex joins and indexes for preparing data as part of data warehousing using AWS platforms.
  • Development of module to automate the loading of data from cloud storage to Redshift using Python.
  • Development of application for Deals identifier and pricing analysis tool.

Project manas

Artificial intelligence Division Head

Sep 2015 – Sep 2017 · 2 yrs

  • Responsibility of leading the AI division of the team; the responsibility of which included coordination of designated tasks and cross-divisional interaction to ensure that the division does not cause delays. Worked on the development and implementation of a ROS package in C++ and
  • Python for Road segmentation and Pedestrian Detection. Also worked on the acquisition
  • and filtering of data from 2D Lidar.
Artificial Intelligence (AI)Deep Learning

Education

Columbia University

Master of Science - MS — Data Science

Manipal Institute of Technology

Bachelor of Technology - BTech — Computer Science

Notre Dame Academy

High School(Matriculation)

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