Varun Goyal

Co-Founder

San Francisco, California, United States2 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Secured funding from Amazon and Google for NLP research.
Achieved AIR 146 in IIT JEE among 1.6 million candidates.
Medalist in Indian National Physics Olympiad and Junior Science Olympiad.

Stackforce AI infers this person is a Data Scientist specializing in Natural Language Processing and Machine Learning.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningQuantitative ResearchSoftware EngineeringComputer Vision

Other Skills

AI processingAWSAzureBackend EngineeringC (Programming Language)C++Competitive ProgrammingConvolutional Neural Networks (CNN)CorrelationCustomer ServiceData AnalysisData ScienceData StructuresDeep Convolutional Neural NetsDeep Learning

About

🌐 NLP Researcher | Data Scientist | Tech Enthusiast 🚀 Skilled in Natural Language Processing, Large Language Models, and Traditional ML techniques. I build (or break) AI software tools in my free time. Beyond the code, I've clinched 🏅medal in the Indian National Physics Olympiad and Junior Science Olympiad, and secured AIR 146 among 1.6 million candidates in IIT JEE. Secured funding for research by Amazon during Master's and Google during undergraduate in NLP and Vision.

Experience

2 yrs 5 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 1 mo

Current Experience

Wisdomai

Founding Engineer - AI

May 2024 – Present · 2 yrs 1 mo · San Francisco Bay Area · On-site

❏ Text to SQL LLM pipeline quality and performance
❏ Unstructured document and large text columns AI processing. Contextually backed AI answers.
PDF document parsing, hybrid RAG, retrieval, summarization, and analysis
❏ Database context formulation and prompt engineering for your enterprise SQL

Text to SQL LLM pipelineAI processingPDF document parsinghybrid RAGretrievalsummarization+4

University of illinois urbana-champaign

Graduate Research Assistant

Jan 2024 – Apr 2024 · 3 mos

Leena ai

Machine Learning Intern

Sep 2023 – Nov 2023 · 2 mos

❏ Trained a reward language model for customer-hosted proprietary ranking and retrieval pipelines
❏ Eval building and human feedback infrastructure

reward language modelranking and retrieval pipelineseval buildinghuman feedback infrastructureMachine Learning

Solana labs

Machine Learning Engineer Intern

May 2023 – Aug 2023 · 3 mos · Chicago, Illinois, United States

Summer Internship

Coordinated science laboratory at university of illinois

Graduate Research Assistant

Jan 2023 – May 2023 · 4 mos

❏ Building a lifestyle coach AI-assistant to assist cancer patients. Combining Entity Recognition, Summarization, Sentiment Analysis, and Language Modeling techniques to assess the user search behavior and their responses.
❏ The analysis forms the base for personalized guidance across their cancer continuum in symptom management and treatment choices

Entity RecognitionSummarizationSentiment AnalysisLanguage ModelingNatural Language Processing (NLP)

Quadeye

Quantitative Strategist

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India · On-site

❏ Experimented with arbitrage strategies and simulated PnLs; understood basics of trading, market making, and quantitative analysis

arbitrage strategiesquantitative analysisQuantitative Research

Rubrik, inc.

Software Enginner Intern

May 2021 – Aug 2021 · 3 mos · Bengaluru, Karnataka, India

Team: Galactus - Cloud Native Data Backup
❏ Transformed the updated permissions access interface to organize it in an easy-to-interpret format to bring transparency
❏ Provided clients with newly designed permission to feature mapping to remove areas of doubt
❏ Implemented and productionized the solutions for both AWS and Azure with different underlying architectures
❏ Took complete ownership of the project across the tech stack consisting of Golang, Scala, ReactJS, and Python
❏ Decreased ambiguity and turnaround time of the process, reducing the support tickets raised to the cloud team by 80%

permissions access interfaceAWSAzureGolangScalaReactJS+2

University of florida

Research Intern

May 2020 – Jul 2020 · 2 mos · Florida, United States

Area: Computer Vision applied to Medical Imaging for Cancer Detection
❏ Researched on developing computer vision techniques for early detection of breast cancer from MRI scans.
❏ Surveyed Deep Convolutional Neural Nets and their applications in image classification, labeling, and segmentation.
❏ Understood the Riemannian manifolds and their related mathematical theorems.
❏ Achieved the highest accuracy by implementing a model improved from U‑net to do image segmentation.

computer vision techniquesDeep Convolutional Neural Netsimage classificationlabelingsegmentationComputer Vision

Clevertap

Software Engineering Intern

May 2019 – Jul 2019 · 2 mos · Mumbai, Maharashtra, India

Team: Mobile User Tracking and Notifications
❏ Surveyed space-filling curves and divided the earth into S2 cells using the Hilbert curve. Mapped the cells to cities using a modified Flood-Fill algorithm.
❏ Optimized the algorithm to assign a city for given coordinates resulting in the reduction of the time complexity for 95% of queries from linear to constant time.
❏ Designed and implemented a compression algorithm that reduced memory consumption by four times.

space-filling curvesHilbert curveFlood-Fill algorithmcompression algorithmSoftware Engineering