Nishit Asnani (Hiring Founding AEs)

Co-Founder

San Francisco, California, United States7 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Founder of innovative sales assistant platform Sybill.
Expert in Natural Language Processing and Machine Learning.
Experience in building AI solutions for healthcare.

Stackforce AI infers this person is a SaaS and AI expert with a focus on sales and healthcare applications.

Contact

asnani04@gmail.com LinkedIn

Skills

Core Skills

Sales GrowthProduct ManagementNatural Language ProcessingMachine Learning

Other Skills

AI for healthcareApplied AIBloggingCC++Computer VisionFounderGraduate researchGrowthHTMLJavaMarketingMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPoint

About

"I have a personal sales assistant, it's quick, helpful, and patient. It keeps me on top of my deals and on prospects' minds The best ways to follow-up and forecast it finds." I am a founder of Sybill (https://www.sybill.ai), and I like to do some poetry every now and then. People say that great tech is like magic. I believe it's more like poetry - once you see its beauty, you can't take your mind off it. We are building a JARVIS for sales teams (remember Iron Man?). Sybill generates accurate and absurdly human-like summaries of sales calls and pushes them directly to Salesforce, Hubspot and Slack. It's a marriage between Behavior AI (reading body language on video calls) and Generative AI. And it helps sales reps save time, follow up precisely, avoid admin work, and improve themselves and their pitch over time. It's a true sales assistant. Check us out!

Experience

Sybill

Co-founder, Growth

Sep 2020 – Present · 5 yrs 6 mos · San Francisco Bay Area · On-site

Sybill helps sellers become superhumans. It tracks their action items across deals, prioritizes them, and executes on their behalf! Say goodbye to writing follow-up emails, internal comms, or manually customizing business cases - Sybill can detect what's needed and do it for you.
Check out Sybill at https://www.sybill.ai

Computer VisionSales GrowthSalesMarketingProduct ManagementNatural Language Processing (NLP)+2

Stanford university

Teaching Assistant

Apr 2020 – Jun 2020 · 2 mos

Helping run the course CS224U: Natural Language Understanding (cs224u.stanford.edu).

Moveworks

2 roles

Product Manager

Sep 2019 – Dec 2019 · 3 mos · Mountain View

Led the development of a customer facing dashboard by leveraging insights from enterprise customers, product, engineering and customer success teams.

Machine Learning Engineer

Jun 2019 – Sep 2019 · 3 mos · Mountain View

Built a deep learning system for named entity recognition and entity discovery with a large unlabeled data set, using weak supervision to noisily label it autonomously. This helped automate part of the NLP stack.

Wordsmith

Co-Founder

Oct 2018 – Jun 2019 · 8 mos · Stanford

Built an online community of creative writers, who provide feedback to each other on their work in public and private groups. Ideated, designed and built the product. Conducted customer interviews, pitched to investors, pivoted twice, managed a team of three technical interns.
Incubated in d.school Launchpad (https://www.launchpad.stanford.edu/), the most successful Stanford accelerator.

Stanford artificial intelligence laboratory (sail)

Graduate Student Researcher

Sep 2018 – Mar 2019 · 6 mos · San Francisco Bay Area

Designed and implemented a deep learning model to detect Tuberculosis in HIV infected patients using their chest X-rays and other symptomatic covariates. We demonstrate that physicians equipped with our model do better than those that diagnose the same set of patients without assistance from it. Our work was covered by NPR and has been published in Nature Digital Medicine.

Iit kanpur computer science department

Instructor

May 2018 – Jun 2018 · 1 mo · IIT Kanpur, Kanpur

Co-taught a crash course on machine learning at Indian Institute of Technology Kanpur (IITK) as part of a summer program organized by Association of Computing Activities, IITK. Designed the course structure, created the content, delivered the lectures and mentored projects.

Google

Software Engineering Intern

May 2017 – Jul 2017 · 2 mos · Greater Hyderabad Area

Worked at the Mobile Device Management team to facilitate device enrollment for Microsoft devices using Google MDM.

Stride.ai inc

Machine Learning / NLP Intern

Dec 2016 – Dec 2016 · 0 mo · Bangalore

Helped build a platform for abstractive text summarization and sentence similarity using an encoder-decoder sequence to sequence model in TensorFlow.

New york office, iit kanpur

Machine Learning Intern

May 2016 – Dec 2016 · 7 mos · Greater Lucknow Area

Worked on generating document embeddings for documents to be used for tagging, using a Deep Belief Network. Used Apache Kafka for sending messages in an online fashion to the model and stored the responses in a Postgre SQL database