Summary
Overview
Work History
Education
Skills
Additional Information
Timeline
Generic

Vamsi Peddireddy

Hyderabad

Summary

  • Decade of professional experience in Machine Learning, IoT Edge Analytics, NLP Applications, Chat Bot Development, and Application Development.
  • Contributed to Accenture's Gen AI applications, specializing in conversation AI platforms and text pre-processing solutions.
  • Designed and implemented a highly efficient Document Integrator application for automated service ticket creation from emails.
  • Led successful implementations of high-performance machine learning systems, focusing on image processing, edge device optimizations, and malware detection.
  • Secured a granted patent for a System and Method for tuning and deploying analytic models over the target ecosystem, showcasing intellectual property contributions.
  • Impactful role in fraud detection across diverse industry domains, enhancing security measures through advanced machine learning models.
  • Proficient in Python, with a specialization in deploying modules on edge devices using IoT.
  • Excellence in Scrum activities using Azure Boards, coupled with proficiency in REST API frameworks (Django and Flask) and Source Code Version Control Tools (GIT, Azure Boards).
  • Results-driven approach with a proven ability to develop, debug, and integrate embedded software.
  • Positioned to thrive in the dynamic landscape of advanced technology and innovation.

Overview

9
9
years of professional experience

Work History

AI Engineer

Accenture
05.2019 - Current
    • With over 4 years of experience at, , specializing in building Q&A systems and Chatbots with conversational flow for diverse clients
    • Proficient in AI, Python, NLP, Flask, Django, and I/CD Pipelines
    • Proven track record of delivering impactful projects, including AI/ML-based chatbots for US and UK customers, an internal Q&A system for Accenture, and the development of a high-performance Django application for chatbot
    • Key projects and technologies include AI, Python, NLP, Flask, Django, I/CD Pipelines
    • Successfully implemented a comprehensive Q&A system for internal use at Accenture, streamlining information retrieval processes and improving internal communication
    • Spearheaded the development of a high-performance Django application, contributing to the efficient construction of chatbots with enhanced functionality and scalability
    • Demonstrated expertise in AI technologies, Python programming, NLP, and the utilization of Flask and Django frameworks, ensuring the delivery of cutting-edge solutions
    • Collaborated in end-to-end project lifecycles, incorporating I/CD Pipelines to optimize development workflows, enhance deployment processes, and maintain high standards of software quality.

Lead Engineer

HCL
07.2014 - 10.2019
  • Innovative professional with over 5 years of experience in IoT and Analytics projects, contributing significantly to a Center of Excellence (COE)
  • A key player in the design and development of novel ideas, showcasing a talent for transforming concepts into tangible solutions
  • Recognized for substantial contributions with awarded patents, reflecting a track record of impactful research and development work in the field
  • Key projects and technologies include: Python,Pyspark,Scala,IOT
  • Implemented optimization suggestions based on in-depth analysis of power consumption data, showcasing expertise in energy-efficient embedded systems
  • Engineered a distributed analytical framework named Pangea, an advanced analytics platform extracting insights from Big Data through sophisticated machine learning algorithms
  • Utilized Spark MLlib to create services, demonstrating proficiency in large-scale data processing
  • Implemented the end-to-end process, including compiling model binaries, porting them onto the board, and building models directly on embedded systems
  • Secured a patent (US20180373988A1) for a system and method for tuning and deploying analytic models over a target ecosystem (India/US)
  • Created an advanced malware detection Python application employing power consumption pattern analysis to identify anomalies in devices
  • Demonstrated expertise in leveraging power consumption data for innovative security

Education

B.E - ECE

JNTU
Ananthapur

Skills

  • Python
  • Artificial intelligence
  • Machine learning
  • Django , flask
  • Conversational AI
  • CI/CD
  • GCP and Azure
  • Deep learning
  • Linux
  • Microsoft windows

Additional Information

  • Licenses & Certifications , Data Analytics - International School of Engineering (INSOFE)
  • Honors & Awards , Patent - US Patent ServicesSep 2018System and method for tuning and deploying analytic models over target eco system

Timeline

AI Engineer

Accenture
05.2019 - Current

Lead Engineer

HCL
07.2014 - 10.2019

B.E - ECE

JNTU

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Vamsi Peddireddy