Kumar Saunack

CEO

Los Angeles, California, United States4 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven financial data extraction.
Strong background in NLP and cloud-native applications.
Proven track record in product management and development.

Stackforce AI infers this person is a Fintech and AI specialist with strong product management capabilities.

Contact

Skills

Core Skills

Software Product ManagementArtificial Intelligence (ai)Cloud ApplicationsNatural Language Processing (nlp)

Other Skills

C++ChatGPTFigmaGoogle Cloud Platform (GCP)KubernetesLinuxMicrosoft AzureProduct DevelopmentPython (Programming Language)User Experience (UX)User Interface Design

About

I am passionate about solving real-world problems with AI and creating value for customers and stakeholders. I have a strong background in AI & computer science, having graduated from IIT Bombay in 2020 and pursuing an AI specialization at UCLA, coupled with business acumen, having completed the CORe credential of readiness from Harvard Business School Online in 2021. I have extensive experience in developing and deploying cloud-native NLP projects, utilizing LLMs and large-scale crawling systems for financial data. I worked at MSCI Inc. for more than two years, where I contributed to pilot NLP and cloud projects for the firm, using and deploying language models for automated financial data extraction. It involved provisioning and setting up the cloud infrastructure along with deployment pipelines. I was also a part of exciting research with Stanford University and Imperial College, London. Additionally, I worked as a product manager at Nintee, a Sequoia-backed startup, where I developed a new product vertical with software developers in a month.

Experience

Parallel web systems inc.

2 roles

Member of Technical Staff

Sep 2024 – Present · 1 yr 6 mos · Palo Alto, California, United States

Intern

Jun 2024 – Sep 2024 · 3 mos · Palo Alto, California, United States

Ucla

UCLA Housing

Feb 2024 – Sep 2024 · 7 mos

• Developing smart green energy housing for UCLA South Bay campus using solar energy and BESS

Nintee

Product Manager

Aug 2023 – Sep 2023 · 1 mo

Designed on-the-fly generative course delivery via prompt engineering for any possible topic using ChatGPT
Developed user flow and course progression for courses and worked with software development team for
implementation

Software Product ManagementChatGPTFigmaProduct DevelopmentUser Interface DesignArtificial Intelligence (AI)+2

Msci inc.

2 roles

Associate

Jan 2022 – Mar 2023 · 1 yr 2 mos · Mumbai, Maharashtra, India

Microsoft AzureGoogle Cloud Platform (GCP)Artificial Intelligence (AI)Natural Language Processing (NLP)KubernetesCloud Applications

Analyst

Aug 2020 – Dec 2021 · 1 yr 4 mos · Mumbai, Maharashtra, India

Implemented pilot cloud-native NLP projects for data extraction from news feeds, saving 150 man-hours/week
Planned, executed and monitored large scale crawling and extraction systems for 70k+ companies with LLMs
Developed financial data extraction pipeline running on 10M articles every day via LLMs
Trained fine tuned NER and QA models for extraction on Databricks
Developed multi-tenant data acqusition platform on hybrid cloud - Azure, GCP and on-premise resources
Designed Linux docker images and triaging Kubernetes issues with infra team on Microsoft Azure & GCP
Researched outlier detection with Stanford University and Imperial College using transformers and KGs
Awarded Star Award, Q3 2021 and promoted to Associate in December 2021 within 1 year

Microsoft AzureGoogle Cloud Platform (GCP)Artificial Intelligence (AI)Natural Language Processing (NLP)KubernetesCloud Applications

Abode

Co-Founder

Jan 2020 – Jan 2020 · 0 mo · Remote

Short term housing solutions aimed at college students

Indian institute of technology, bombay

Member, CFILT Lab

Jul 2019 – Aug 2020 · 1 yr 1 mo · Mumbai, Maharashtra

Guide: Prof. Pushpak Bhattacharyya
Researching NLP for low resource languages in the Indian diaspora. Papers in LREC, COLING, NAACL

Artificial Intelligence (AI)Natural Language Processing (NLP)

Prodigal

Research Intern

May 2019 – Jun 2019 · 1 mo

Worked on unstructured call data to formulate methods to provide automated analytics, services to call-centres
Used HMMs and Reinforcement Learning approaches to obtain over 90% precision in identifying subtopics
Trained Bayesian models to identify noun chunks from the call segments to extract useful information

Artificial Intelligence (AI)Natural Language Processing (NLP)