Biswa G Singh

Co-Founder

Bhubaneswar, Odisha, India20 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Co-founded an AI research firm with innovative solutions.
  • Led award-winning projects in retail analytics.
  • Achieved Kaggle competition expert status in deep learning.
Stackforce AI infers this person is a Machine Learning and AI expert with extensive experience in Fintech and Enterprise Software.

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Skills

Core Skills

Machine LearningDeep LearningNlpData ScienceSoftware DevelopmentPerformance EngineeringEmbedded Systems

Other Skills

ARM ArchitectureAlgorithmsAnalyticsAudio ProcessingCC (Programming Language)C++CPU BenchmarkingCompiler OptimizationComputer ArchitectureContextual SearchContextual Search TechnologiesData ManagementData StructuresDebugging

About

With over 15 years of experience in software development, machine learning, and deep learning, I co-founded ZeonAI Labs, an applied AI research firm that solves real-world business problems using advanced NLP and machine learning techniques. At ZeonAI Labs, we develop and deploy contextual search technologies (Generative and more) that can extract knowledge from unstructured documents with minimal training. Our solution DeepDelveTM is a question answering and summarisation system that can scan through thousands of documents in various formats and provide relevant answers and information based on the context of the question. We have applied our solution to various use cases across industries, such as contracts, support documents, and digital contents. Previously, I led an AI and data sciences team at Capillary Technologies, where we delivered recommendation engine based products for retail clients. We built various predictive and recommendation models to improve engagement ROI in loyalty, using machine learning and analytics. We also developed a deep learning based audio product for in-store retail analytics, which won the first runner-up award in AWS ISV innovation cup 2021. I also architected a MLOps framework to scale the data volume and model serving throughput. I am passionate about applying machine learning and deep learning algorithms to model text, tabular, audio, and image data, and I have participated in several Kaggle challenges, mostly in the deep learning problems on images and text, achieving the Kaggle competition expert status. I am also a co-founder and administrator of India Deep Learning Initiative, a group that promotes knowledge and use of deep learning and machine learning in India to solve real problems.

Experience

Zeonai labs

Co-Founder

Oct 2021Present · 4 yrs 5 mos · Bengaluru, Karnataka, India

  • ZeonAI Labs is an applied AI research firm and we work on solving real world business problems using advanced NLP and Machine Learning techniques to make the business processes simple and intuitive. We use our IPs/products for quick turn-around and immediate business impact. We have majorly two platforms DeepDelve and DeepProbe.
  • About DeepDelve:
  • DeepDelve is ZeonAI Labs’ AI-powered financial workflow automation platform designed to streamline Accounts Payable (AP), Accounts Receivable (AR), and Financial Close processes.
  • It leverages LLMs, ML extraction, and no-code rule engines to automate complex financial operations — helping finance teams move from manual to intelligent workflows.
  • About DeepProbe:
  • DeepProbe is ZeonAI Labs’ flagship AI-driven Enterprise Document Management and Workflow Platform used by defense, BFSI, and large enterprises to manage classified and high-volume data. It combines secure storage, document lineage, audit trails, DRM, and LLM-based contextual search and chat — redefining how organizations work with knowledge at scale.
  • Please visit us at http://zeonai.com/ to know more about us.
NLPMachine LearningDeep LearningContextual Search Technologies

Capillary technologies

2 roles

Principal Data Scientist

Promoted

May 2019Oct 2021 · 2 yrs 5 mos

  • Lead an AI and Data Sciences team for delivering recommendation engine based products for retail clients. The team built various predictive and recommendation models to improve engagement ROI in loyalty.
  • The team built a loyalty ROI technique using machine learning which is very unique and mentioned in BCG white paper. https://www.capillarytech.com/know-how/customer-engagement-bcg/
  • Also lead an audio/speech group which develops a deep learning based audio product for in-store retail analytics. The product won first runner-up ward in AWS ISV innovation cup 2021.
  • https://yourstory.com/2021/01/meet-three-winners-aws-isv-innovation-cup/amp
  • Architected a MLOps framework to scale the availability of accurate models to various customers with different types of Data.
  • https://docs.google.com/presentation/d/e/2PACX-1vSMuwckMEKmBt0gd8kQSbX3VMnDdpGpTvEoc9Yip0GHcdq04MW3Xck8KlRuatA8TA/pub?start=false&loop=false&delayms=30000&slide=id.p1
Predictive ModelingRecommendation SystemsMLOpsMachine LearningData Science

Lead Machine Learning Engineer

May 2018May 2019 · 1 yr

  • ML driven Recommendation around campaign, e-comm, retail.

India deep learning initiative

Administrator and Co-founder

Jan 2017Present · 9 yrs 2 mos · bangalore

  • The main objective of this group is to promote knowledge and use of deep learning (DL) in particular, and machine learning (ML) in general, in India to solve real problems. The current sub-objectives to support the main objective are:
  • 1. Connect a critical mass of DL enthusiasts in India.
  • 2. Encourage industry to formulate and share DL problems for students and academicians.
  • 3. Become a go-to place to exchange DL ideas and knowledge.

Amd

MTS

Dec 2016May 2018 · 1 yr 5 mos · Bengaluru Area, India

  • Microsoft compiler optimization on AMD platforms. Worked to get Microsoft Visual Studio compiler perform better on New AMD CPU called Ryzen.
  • Also working to get some deep learning algorithms run faster on AMD Vega GPU.
  • Using machine learning to solve some compiler and design problems

Hewlett packard enterprise

Specialist

Dec 2015Oct 2016 · 10 mos · Bangaon Area, India

  • Performance and Power Analysis (SPEC CPU, SPEC Power SSJ, Chauffeur WDK,. SPEC SERT)
Compiler OptimizationDeep Learning AlgorithmsSoftware Development

Standard performance evaluation corporation (spec)

CPU subcommittee member

Apr 2015Oct 2015 · 6 mos

  • Was an ARM representative in CPU subcommittee
Performance AnalysisPerformance Engineering

Arm

CPU Performance and power analysis

Jan 2014Oct 2015 · 1 yr 9 mos

  • Competitive CPU power/performance benchmarking. Requires a thorough knowledge on computer architecture, system tuning and S/W and H/W power management.
  • big.LITTLE benchmarking and messaging. Mobile use-case performance/power analysis. Compiler version tracking on performance. CPU workload profiling.

Qualcomm

Sr Engineer

Apr 2013Jan 2014 · 9 mos · Bangalore

  • System performace analysis. Post silicon SoC performance validation. Performance stress testing and lots of scripting to automate the process.
CPU BenchmarkingPower ManagementPerformance Engineering

Ibm

Systems Engineer

Apr 2011Apr 2013 · 2 yrs · Bangalore Urban, Karnataka, India · On-site

  • PowerPC validation
  • Developed S/W tool to generate machine code that validates PowerPC processor architecture. Thorough knowledge of computer architecture required.
System Performance AnalysisScriptingPerformance Engineering

Synopsys

EDA engineer

Jan 2010Jan 2011 · 1 yr

  • VCS runtime code debugging and enhancement.
PowerPC ValidationMachine Code GenerationSoftware Development

Clemson university

2 roles

Graduate Research Assistant

Sep 2007Dec 2009 · 2 yrs 3 mos

  • Worked under the guidance of Dr. Melissa Smith, Assistant Professor,
  • Reconfigurable computing lab, Electrical and Computer Engineering, Clemson University
  • Project : Neutron data acquisition system migration for Oak Ridge National Laboratory.
  • Skills : Xilinx Virtex 5 FPGA, PCI-Express Endpoint Core, Xilinx ISE Tools, Xilinx ChipScope Pro, ModelSim Simulator, VHDL, Verilog, Windows Device Driver.
  • Performed migration of existing PCI-X based Timing Module (a high speed neutron data acquisition system) to PCI-Express to improve data acquisition performance.
  • Contributed in development of a new printed circuit board. Performed hardware debugging to verify the operation of different PCB components.
  • Worked with Xilinx Virtex 5 PCI Express Endpoint IP Core to develop the new system.
  • Performed in-system debugging and troubleshooting using Xilinx ChipScope Pro Logic analyzer.
Runtime Code DebuggingSoftware Development

student

Aug 2007Dec 2009 · 2 yrs 4 mos

  • Focus areas include computer architecture, embedded design, FPGA design, software development, image processing, and high performance reconfigurable computing.
  • I worked on FPGA design, PCI Express, and reconfigurable computing.
  • My thesis project was FPGA BASED TIMING MODULE AND OPTICAL COMMUNICATION CARD DESIGN FOR SPALLATION NEUTRON SOURCE.
FPGA DesignVHDLVerilogEmbedded Systems

Tata consultancy services

Assistant Systems Engineer

Jan 2005Jul 2007 · 2 yrs 6 mos

  • Worked as an Oracle Database Administrator.
  • Project : Product Alliances Group
  • Skills : Oracle 9i/10g database
  • Oracle 10g Application Server
  • Description:
  • Gained good knowledge and experience in Oracle installation and configuration. Performed Oracle installation on almost all the UNIX platforms and also on Windows.
  • Planned and Configured Oracle 10g RAC database for our clients. Received appreciation from a major customer on successfully completing a critical installation before production deadline.
  • Recovered many databases during the time of crashes or media failures. Many customers appreciated the effort of recovering the production databases with minimum down time.
  • Performed tuning on databases and improved performance in many ways.

Education

Clemson University

MS — Computer Engineering

Jan 2007Jan 2009

NIST University

BE — Electronics and Instrumentation Engg

Jan 2000Jan 2004

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