Sumit Vohra

Co-Founder

Delhi, India8 yrs 6 mos experience
Highly Stable

Key Highlights

  • Led a team of 15 engineers in high-throughput data projects.
  • Developed multiple patent-pending blockchain solutions.
  • Delivered first ML-feature in Intuit's QBO-Advanced.
Stackforce AI infers this person is a SaaS and Fintech expert with strong blockchain and machine learning capabilities.

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Skills

Core Skills

Machine LearningInfrastructure EngineeringBlockchain DevelopmentProduct DevelopmentSoftware DevelopmentResearch

Other Skills

Apache KafkaApollo GraphQLAudio ProcessingBackbone.jsBlockchainBlockchain ArchitectureCC#C++Clustering ModelsClustering TechniquesCryptocurrencyDeep LearningDistributed SystemsGit

Experience

Neobrix

Cofounder and CTO ( acq. Rippling )

Jan 2024Present · 2 yrs 2 mos · On-site

  • 1. Led and created auto-instrumented observability data pipeline for hyper-throughput data ingestion ( 1 PB+ / day )
  • 2. Built, hired and worked with a team of 15 engineers.
  • 3. Built our own proprietary object-store and query-engine with decoupled columnar-storage and compute engine based on custom RDMA on top of CEPH-clusters reducing the object storage latencies by 5X. [ PATENT PENDING ]
  • 4. Developed LLM pipeline for structuring, masking and classifying financial data.
  • 5. Developed custom-eBPF hooks to cover all technologies including databases, queues, L7-protocols, L4-protocols.
  • 6. Our observability engine boasts of both horizontally and vertically scalable in terms of both compute and storage, achieving sub-second query responses and 50X compression becoming state of the art infra for saving and searching telemetry data.The resource requirement is 10X lesser than what traditional tools like elastic are able to achieve.
  • 7. Deployed in on-prem servers for HDFC (#1 bank of India in Market Cap ), SBI ( #3 bank of India ) amongst other FIs.
Machine LearningC++PythonLinuxGitInfrastructure Engineering

Singularity

Cofounder and CTO

Aug 2022Present · 3 yrs 7 mos · India

  • 1. Built a super-secure checkout product for web3 games. ( Stripe for digital assets )
  • 2. Developed a user-facing cross-platform SDK to power purchases of digital assets via crypto-currencies and fiat-payment modes; from collection of payments to safely delivering the assets.
  • 3. Developed a novel cross-chain automatic market-maker algorithm to do liquidity bridging required for executing multi-chain transactions atomic transactions. [ Patent Pending ]
  • 4. Developed a novel multi-sig wallet architecture for creating a self-custodial transaction experience to avoid regulatory liability of having a money-transmitter-license. [ Patent Pending ]
  • 6. Handled transaction volumes worth $12M in peak times.
  • 7. Selected in prestigious YCombinator W23 batch and Alliance DAO.
  • 8. Raised seed ~$3M from Lumikai, Antler, StellarisVP, AllianceDAO, hypersphere.
  • 9. Powering gaming giants like Ubisoft and Sega.
BlockchainCryptocurrencyJavaScriptReact.jsC#Blockchain Development+1

Correlations.ai

Cofounder and CEO ( merged: INTUIT )

Aug 2019Jan 2021 · 1 yr 5 mos

  • 1. Correlations.AI powered LLM based actionable insights, feedback prioritization and intelligent classification for companies receiving large volumes of feedback data over multi-modal channels ( play store / AppStore / Twitter / surveys )
  • 2. Worked with product teams including Khatabook, OkCredit, Unacademy, Testbook, JioSaavn and many more..
  • 3. Worked on charting-UI ( react / d3js ) along with co-authoring python backend for continuous scraping of feedback data and training of big-data machine learning models.
  • 4. Worked on expanding the enterprise userbase of correlations.ai to 5+ enterprises.
  • 5. Tool acquired and merged with Intuit ecosystem.
Machine LearningPythonReact.jsProduct Development

Google

2 roles

Mentor @Google Summer of Code 2k'19 | Red Hen Lab

Mar 2019Nov 2019 · 8 mos

  • 1. Led multi-modal scene-segmentation for movies and news-clips.
  • 2. Worked on various clustering models, face-frontalization methods, and decision-tree models for scene-segmentation.
Machine LearningClustering ModelsResearch

AI Intern @Google Summer of Code 2k18 | Red Hen Lab

Apr 2018Aug 2018 · 4 mos

  • Working on egocentric perceptions, indexing first-person videos and third-person videos using audio.
  • 1. Selected out of group of 21K students from 144 countries.
  • 2. Worked on scene-identification using audio.
  • 3. Incorportated audio-diarization/audio-separation/speaker-identification into a single pipeline for audio based visual indexing.
Audio ProcessingMachine LearningResearch

Intuit india

Lead Software Engineer

Aug 2018May 2022 · 3 yrs 9 mos · Bengaluru, Karnataka, India

  • Wore in different hats for wide-ranging projects:
  • 1. Worked on developing the platform for intuit's workflow engine. Worked across highly scalable infra to deliver a seamless experience to QuickBooks and TurboTax users.
  • 2. Delivered the first ML-feature in QBO-Advanced to improve Mid-markets' cash-flow, built a point-estimator model to analyze customers' propensity to pay.
  • 3. Worked as a react and java developer in various roles in QBO-Advanced. Worked on various spring-boot/graphql based projects alongside react/typescript/redux/apollo.io for frontend development.
  • 4. Led security & encryption of millions of records while AWS migration of Intuitmarket.com.
  • 5. Worked in the acquisition and intelligence team responsible for analyzing possible collaborations and acquisitions. Built different regression/correlational models for the same.
Machine LearningJavaReact.jsSpring MVCGraphQLSoftware Development

Indian institute of technology, delhi

Research Intern

Dec 2017Mar 2019 · 1 yr 3 mos

  • Continuing into my senior year, I conducted research under Prof. Chetan Arora at IIT Delhi, segmenting scenes in egocentric videos using unsupervised methods based on non-parametric clustering techniques for temporal segmentation and continuous optimization of clustering loss using deep-learning methods
Clustering TechniquesDeep LearningResearch

Google

Software Engineer Intern

May 2017Oct 2017 · 5 mos · Bengaluru Area, India

  • Worked under Next Billion Users Team and built a Bill Notification System for UPI based payment app "Tez".
  • 1. Selected via Google APAC ( World Rank #145, AIR #45 )
  • 2. Worked in NBU-paisa responsible for the auto-payment generation of common-utility bills.
  • 3. Worked on encrypted-email-extraction, distributed systems, map-reduce.
Distributed SystemsMap-ReduceSoftware Development

Qrius (formerly the indian economist)

Business and Economics Writer

Dec 2016Mar 2017 · 3 mos

  • Wanted to try out something different, wrote and published various economics article :
  • 1. Wrote my own economics paper during this period.
  • 2. Worked on various economics/business articles that were published under Indian Economist now Qrius.

Indian institute of management, ahmedabad

Contributor

May 2015Jul 2015 · 2 mos

  • Worked as Contributor in Scholar For Change Campaign; Made Educational content for students
  • of weaker economic sections in their native languages.

Education

Netaji Subhas Institute of Technology

B.E CS

Jan 2014Jan 2018

The Army Public School, Dhaula Kuan, New Delhi

AISSCE (CLASS XII) — INDIA

Jan 2002Jan 2014

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