Uday Kiran Pulleti

Co-Founder

Hyderabad, Telangana, India20 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led multiple AI-driven projects with significant impact.
  • Holds eight patents and published IEEE papers.
  • Expert in NLP, Machine Learning, and Computer Vision.
Stackforce AI infers this person is a highly skilled AI and Data Engineering expert with a focus on innovative solutions in legal tech and smart industries.

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Skills

Core Skills

Natural Language ProcessingMachine LearningComputer VisionAudio AnalyticsStochastic OptimizationInformation TheoryDigital Signal Processing

Other Skills

Deep LearningAlgorithmsData AnalyticsSignal ProcessingWireless CommunicationAudio ProcessingGaming AudioTensorFlowMatlabCCaffeC++Embedded SystemsEmbedded SoftwareWireless Localization Technologies

About

Strong record of building multiple MVPs: from conception of idea, architecting solutions, developing algorithms, building end to end systems and deploying to customers. Recognized for thought leadership and holistic approach to problem solving. Led development of several projects using Deep Learning, Natural Language Processing (NLP), Computer Vision (CV), machine learning, graph theory, stochastic optimization, signal processing and other optimization techniques and predictive models for legal tech, smart home, smart buildings and smart industry IoT applications. Eight granted patents, one trade secret and three IEEE published papers. Areas of expertise: Machine learning /Deep learning Technical leadership Natural Language Processing Computer Vision Audio Analytics Optimization algorithms Stochastic systems Indoor location algorithms IIoT (Wireless sensor networks) Information theoretic secrecy ( Cryptography) https://github.com/udaypk https://medium.com/@udayp PS: All posts and opinions expressed are solely my own and does not represent the views or opinions of any organization that I am associated with.

Experience

20 yrs 6 mos
Total Experience
3 yrs 11 mos
Average Tenure
5 yrs 8 mos
Current Experience

Cyble

Senior Director - AI & Data Engineering

Sep 2021Jul 2023 · 1 yr 10 mos · India

  • Building systems to manage cyber risks with AI powered actionable threat intelligence across the Deepweb, Darkweb and the Surface Web.

Envijion ai

Co-Founder

Sep 2020Present · 5 yrs 8 mos

  • Enabling organizations productize their ideas with AI.

Cognition ip

Director of AI

Jan 2019Sep 2021 · 2 yrs 8 mos

  • Responsible for formulating and delivering AI technology road map for the organization.
  • Leading a small and efficient team of ML engineers, conceived, designed, and implemented NLP products resulting in 30% improvement in operational efficiency of the organization.
  • Main products delivered:
  • Legal text generation (NLG) system for generating paragraphs of patent text from an input of few lines using transformer based seq-seq models: GPT2 and T5. Conceived novel methods for generating training data for text generation.
  • Custom semantic search algorithm for patent pdf documents using BERT and XLNet involving training a language model from scratch, optimizations to the algorithms and novel ways of generating training data.
  • Realtime and offline auto complete using n-gram language model integrated with Microsoft word.
  • Text to figure conversion product using information extraction algorithms for patent documents including custom entity detection, event detection and relations between entities and events using dependency parsing, constituency parsing, semantic role labelling etc.
  • Filed one patent for the above work.
Natural Language ProcessingMachine LearningDeep LearningAlgorithmsData Analytics

Honeywell technology solutions, inc.

Principal Research Scientist

Jan 2011Dec 2018 · 7 yrs 11 mos

  • Image processing and Computer vision: Developed cloud and edge based image detection and classification algorithms using different deep learning algorithms for smart home and smart city applications.
  • Audio analytics: Developed sound detection and classification solution for detecting custom sounds using custom deep CNN for smart home applications.
  • Predictive Analytics: Developed machine learning algorithms for interactive and predictive planning of hundreds of wireless devices in large industrial plants, buildings and homes. Led development of indoor localization platform for large buildings and industrial plants.
  • 8 granted patents and two publications.
Computer VisionDeep LearningSignal ProcessingMachine LearningAudio Analytics

Epfl

Research Associate

Nov 2008May 2011 · 2 yrs 6 mos

  • Primary areas of research: information theory, stochastic optimization and wireless communication systems. Developed stochastic algorithms to for data transmission with Shannon secrecy.
  • Published in IEEE Signals, Systems and Computers Conference ASILOMAR
Stochastic OptimizationInformation TheoryWireless Communication

Qualcomm

Senior Engineer (Digital Signal Processing algorithms)

Aug 2005Sep 2008 · 3 yrs 1 mo

  • Implemented various signal processing algorithms including DLS-MIDI music synthesis standard and AMR wide band audio decoder on Qualcomm DSP. Led design and implementation of different gaming audio post-processing features of 3-D positioning, reverberation, Doppler, chorus and coning.
  • Awarded Qualcomm trade secret for method on optimal memory structuring of MIDI state variables for efficient access between hardware and DSP.
Digital Signal ProcessingAudio ProcessingGaming Audio

Education

Indian Institute of Technology, Bombay

Master of Technology (MTech)

Jan 2005Present

Bapatla Engineering College

Bachelor of Technology (BTech)

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