Himanshu Robo Srivastava

About Himanshu Robo Srivastava

As a GenAI, Agentic, Machine Learning and Deep Learning expert with over 13+ years of experience, I have worked on several challenging projects ranging from Image Classification, Object Detection, Visual Search, Automatic Look Creation, Text Summarization, and more. I have a strong command over Python and OpenCV programming, and I am also skilled in C/C++ and Data Structure on the Linux platform.My expertise lies in developing apparel classification and detection models using Convolution Neural Networks and Yolo Framework. I was responsible for the end-to-end development of these projects, from scratch to production. I have also worked on developing a Visual Search system using Spark and MemSql, which involved optimizing the system architecture and implementing data automation using Spark standalone cluster mode. As a result of my optimization efforts, the final result time was reduced from 11 seconds to just 1 second.I have also worked on developing an Automatic Look Creator using Data Mining concepts of Fp-Growth and a Recommendation System that suggests the most popular products based on events captured in Google Analytics data. Additionally, I have worked on Video Analytics projects, including developing an attendance system by identifying individuals using detection and making entries in a Neo4j database using multiple cameras.In terms of Natural Language Processing, I have worked on several projects such as Text Summarization, Text Classification using Deep Learning Networks, Name and Entity Recognition, and Message Classification models like promo, bank, personal, etc. I have also worked on Computer Vision projects such as Physical Distancing Model, Pothole Detection Model, and Criminal Profiling and Crime Prediction models.Beyond technical expertise, I combine leadership in strategic planning, decision-making, end-to-end delivery ownership, and cross-functional collaboration. I excel at aligning business goals with technology, engaging stakeholders, and driving teams to deliver measurable impact. With a proven record of optimizing architectures, accelerating system performance, and developing data-driven products from scratch to production, I aim to lead innovative AI solutions that transform business challenges into real-world value.

Experience

1. Principal Data Scientist Manager

   Accenture

   Jul 2022 — Present · Gurugram, IN

   Middle East Retailer: Agentic Solution* Multi-Agent System Architecture: Designed and implemented production-grade multi-agent systems with orchestrator, super, and utility agents.* Intelligent Agent Coordination: Enabled agents to intelligently trigger sub-agents based on user inputs and business logic.* ML Integration:Integrated ML models (e.g, Markdown, Assortment) for automated, data-driven decision-making.* Cloud-Native Deployment: Built modular, scalable architecture using cloud-native tools and microservices.* System Reliability & Optimization: Ensured reliability through robust monitoring, fault-tolerant design, and performance tuning.Large Global Retailer: Conversational Commerce Chatbot (GenAI)* Implemented Azure services, including Blob Storage, Pipelines Repository, and Azure App Service, ensuring smooth development and deployment processes.* Leveraged RAG architecture to enhance the accuracy and relevance of generated content.* Managed the project lifecycle from initial concept and architecture to execution, ensuring successful delivery.* Oversaw technical and functional components, including developing and disseminating business logic to the team.* Utilized Python for programming, PostgreSQL for vector databases, and OpenAI for GenAI capabilities, demonstrating proficiency in diverse technologies.* Implemented necessary modifications following established procedures, ensuring flexibility and adherence to evolving requirements.Global Oil & Gas Retailer: Customer Analytics* Managed end-to-end delivery including reporting, model development, and in-depth analysis.Designed campaign management strategies tailored for loyalty customers.* Developed a churn prediction model and implemented customer segmentation techniques.* Constructed customer network graphs and conducted dynamic tiering analysis to gain insights into customer behavior.* Utilized AWS cloud services for both model development and deployment.

Education

• Indian Institute of Technology, Guwahati

  Master of Technology (M.Tech.), Signal Processing

  2012 — 2014

• JSS Academy of Technical Education

  Bachelor's Degree, Electrical, Electronics and Communications Engineering

  2007 — 2011

Skills

• Microcontrollers
• Linux
• Deep Learning
• Digital Electronics
• Speech Signal Processing
• Signal Processing
• Embedded Systems
• Pspice
• C
• Programming
• Computer Vision
• Mongodb
• Image Processing
• Electronics
• Opencv
• Embedded C
• Microprocessors
• Javascript
• Robotics
• Python
• C++
• Nodejs
• Android
• Digital Image Processing
• Matlab