Summary
Overview
Work History
Education
Skills
Academicandpersonalprojects
Timeline
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SAI AKHIL M

Summary

Passionate AI and Data Science professional specializing in Machine learning and Generative AI, dedicated to creating cutting-edge solutions for business growth and enhanced user experiences through continuous learning and innovation.

Overview

7
7
years of professional experience

Work History

Associate Data Scientist

Cognizant Technology Solutions
Hyd
02.2023 - Current
  • I currently serve as a Generative AI Engineer in a product development team dedicated. My responsibilities include identifying and implementing generative AI use cases for various products in the Quality Engineering and Assurance domain.
  • Technology Stack Used – Python, Langchain, RAG, Neo4j, Azure OpenAI, and GPT-4 LLM.
  • Use Case 1 - Tester Copilot: Built multi-AI agents using the LangGraph framework for test case creation and test data generation use cases.
  • Use Case 2 - Risk-Based Testing: Implemented Neo4j knowledge graphs for testing artifacts in the testing lifecycle.
  • Use Case 3: Document Authoring: To assist the authors by generating content for various sections during the preparation of validation documents.
  • Use Case 4 - Document Reviewing: To assist the document reviewers in reviewing and evaluating validation documents.
  • Use Case 5 - Test Optimizer: Built a solution to optimize the redundant test cases in the test suite.
  • R&D on GGUF-Based Llama2 Model: Worked with the Llama2 local model that runs on a CPU for the document authoring use case.

Machine Learning Engineer

Tata Consultancy Services
Hyd
04.2020 - 01.2023
  • Project - CAPE: Intelligent IT Infra Management Product for SAP Domain projects.
  • Forecasting of CPU and Memory Utilization: Developed ML models to forecast CPU and memory utilization for various SAP ERP customer VMs integrated into the CAPE application.
  • Metric Anomaly Detection: Implemented an ML model using the isolation forest technique for detecting anomalies in VM metrics, such as CPU and memory utilization.
  • Classification of Support Tickets using NLP.
  • Automation of IT Infra Tasks: Engaged in Python automation for IT Support team use cases and crafted analytics dashboards using MS PowerBI, Tableau, and Qlik Sense.
  • Data Lake Design: Built Apache Cassandra Data Lake for BI and AI use cases. Performed Data Copy from Postgre DB to Cassandra using python scripts.

SAP Basis Consultant

Tata Consultancy Services
Mumbai
03.2018 - 03.2020
  • Assisted in the development and implementation of SAP system landscapes for Bayer Customer Projects.

Education

Post Graduate Diploma - Artificial Intelligence and Machine Learning

Edureka, E&ICT Academy NIT Warangal
03.2022

Bachelor of Technology - ECE

G. Pullaiah College of Engineering and Technology
06.2017

Skills

  • Python
  • Generative AI
  • AI Agent Frameworks
  • Neo4j
  • Azure OpenAI
  • Langchain
  • MongoDB
  • Vector and graph databases
  • Machine learning
  • Deep Learning
  • Natural Language Processing
  • Data Analytics and Visualization
  • Python
  • VS Code/Anaconda/Pycharm

Academicandpersonalprojects

  • Machine Learning, Forecast Cab Booking Demand, Car Price Prediction
  • Deep Learning - CV, Brain Tumour Detector, Detect Moving Cars, License Plates
  • Natural Language Processing, SMS-Spam-Detector, Amazon reviews classification

Timeline

Associate Data Scientist

Cognizant Technology Solutions
02.2023 - Current

Machine Learning Engineer

Tata Consultancy Services
04.2020 - 01.2023

SAP Basis Consultant

Tata Consultancy Services
03.2018 - 03.2020

Post Graduate Diploma - Artificial Intelligence and Machine Learning

Edureka, E&ICT Academy NIT Warangal

Bachelor of Technology - ECE

G. Pullaiah College of Engineering and Technology

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SAI AKHIL M