Amritanshu Pandey

Software Engineer

Bengaluru, Karnataka, India5 yrs 5 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in AI and software development with a decade of experience.
  • Led innovative projects in sports technology and business intelligence.
  • Strong leadership skills with ongoing studies at ISB.
Stackforce AI infers this person is a Software Engineer specializing in AI and Computer Vision within the Sports Technology sector.

Contact

Skills

Core Skills

Software DevelopmentMachine LearningData Engineering

Other Skills

AIAlgorithmsArtificial Intelligence (AI)AutomationBig DataBig Data AnalysisBusiness IntelligenceCommunicationComputer VisionConvolutional Neural Networks (CNN)Data AnalysisData MiningData ScienceDeep LearningDeep Reinforcement Learning

About

๐Ÿš€ Dynamic Software Developer | AI Innovator | Research Enthusiast | Social Advocate With a decade of rigorous academic training and five years of practical experience in AI & software development, I specialise in delivering precise and innovative software solutions tailored to unique challenges. Currently, I am expanding my leadership skills through studies at ISB. Hereโ€™s a snapshot of my professional journey: ๐ŸŒŸ Core Competencies: - Organisational Leadership - Software Development - Machine Learning, Deep Learning, Generative AI - MLOps - Containerisation & Orchestration - Data Analysis & Visualisation - Data Engineering ๐Ÿ› ๏ธ Technical Proficiencies: - Languages: Python, R, C++, Shell - Databases: SQL, Postgres, Tarantool, MongoDB - Deployment: Docker, Kubernetes - MLOps Tools: MLflow, DVC - Data Analysis: Tableau, Grafana, Prometheus - Libraries: NumPy, Pandas, SciPy, Scikit-learn, PyTorch, TensorFlow, OpenCV - Multiprocessing: Ray, Dask, asyncio - API Development: Flask, FastAPI - Version Control: GitHub, GitLab - Cloud Platform: GCP, Azure, AWS ๐Ÿ” Key Projects: - Generated Key plays & moments of major international sports leagues across multiple live streams concurrently. - Developed a real-time video recognition engine for player identification. - Created business intelligence dashboards for hardware utilization at Intel. - Designed automation workflows enhancing efficiency for support teams. ๐Ÿ“š Research Contributions: - Investigated botnet attacks using hybrid machine learning models. - Analyzed emission mechanisms of radio neutron star pulsars with K-means clustering. - Developed a hybrid Random Forest-SVM model for phishing detection, published in reputed journals. ๐ŸŒ Areas of Interest: - AI applications across sectors - Transitioning AI concepts to commercial success - Comprehensive business management strategies ๐Ÿค Community Engagement: - Collaborated on environmental initiatives with the British Council. - Participated in the Green Olympiad led by Mr. RK Pachauri, former IPCC chair. - Moderated risk-behavior management workshops with Max Group of Hospitals. - Volunteered with NGOs supporting underprivileged communities. ๐ŸŽฏ Personal Interests: - Connecting with diverse cultures. - Avid reader and music lover. - Enthusiastic about chess strategy. โœˆ๏ธ Global Exposure: Countries Visited: Indonesia | Malaysia | Singapore | Hong Kong | Thailand | Germany Driven by a passion for technology and a commitment to social impact, Iโ€™m eager to connect and explore collaborative opportunities. Letโ€™s innovate!

Experience

5 yrs 5 mos
Total Experience
2 yrs 8 mos
Average Tenure
4 yrs 6 mos
Current Experience

Fubo

Software Engineer, Computer Vision

Dec 2021 โ€“ Present ยท 4 yrs 6 mos ยท Bengaluru, Karnataka, India ยท Hybrid

  • ๐Ÿ” Developed a Scorecard Data Recognition Engine
  • Identified scorecard data from 12 international sports leagues with high accuracy.
  • ๐Ÿ“Š Implemented Real-Time Sports Stats Sync System
  • Synced AI generated vision-based metadata with sports statistics metadata across 200 live channels with record-breaking speed and precision.
  • ๐ŸŽฏ AI-Generated Key Plays & Highlights
  • Used AI to automatically generate key plays and condensed highlights, enhancing fan experience.
  • ๐Ÿง  Exploring Vision-Based Metadata Generation
  • Currently researching RNN-based networks for generating advanced vision-based metadata.
  • โš™๏ธ Managed Python-Based Automation Workflows
  • Built optimized vision datasets and trained production-ready vision models efficiently.
Computer VisionPythonAIReal-Time SystemsSoftware DevelopmentMachine Learning

Edisn.ai

Deep Learning Engineer

Dec 2020 โ€“ Nov 2021 ยท 11 mos ยท Bengaluru, Karnataka, India ยท On-site

  • ๐Ÿ” Developed a Robust Recognition Engine
  • Participated in creating a system for real-time detection and tracking of multiple players with high precision.
  • ๐ŸŒ Collaborated on Global Client Projects
  • Worked on a diverse portfolio of international projects, leveraging cutting-edge technology to meet specific client needs.
  • ๐ŸŽฏ Led Classifier Training
  • Directed the development of player and digit classifiers, ensuring top-notch accuracy and efficiency in recognition.
  • ๐Ÿง  Researched and Implemented Object Detection Algorithms
  • Conducted in-depth research and applied object detection algorithms, boosting system reliability.
  • ๐Ÿš€ Advanced Multi-Object Tracking Research
  • Pioneered multiple-object tracking algorithms, significantly improving spatial awareness and tracking capabilities.
  • ๐ŸŽ“ Focused on Reinforcement Learning
  • Currently undergoing a rigorous training in Reinforcement and Deep Reinforcement Learning to create next-gen player tracking algorithms.
  • ๐Ÿ”ฌ Deep Learning Model Testing with GradCAM
  • Led comprehensive testing and analysis of Deep Learning models using GradCAM, optimizing AI performance.
  • ๐Ÿ… Acquired by Fubo (Nov 2021)
  • Contributed to a team that was later acquired by Fubo, underscoring the success and value of our innovations.
Deep LearningObject DetectionReinforcement LearningMachine LearningSoftware Development

Intel corporation

Graduate Technical Intern

Aug 2019 โ€“ Nov 2020 ยท 1 yr 3 mos ยท Bengaluru, Karnataka ยท On-site

  • ๐Ÿ“Š Designed and Implemented a Business Intelligence Dashboard
  • Led the creation of a sophisticated dashboard for server performance and resource utilization analysis across Intel's vast infrastructure using Plotly-Dash, Flask, Tarantool, and Hive.
  • ๐Ÿ† Awarded for Driving Data-Driven Decision-Making
  • Recognized for enhancing data-driven decision-making by delivering a pivotal Business Intelligence dashboard.
  • ๐Ÿค– Developed Automation Workflows and Validation Procedures
  • Streamlined operations for support engineers and program managers by developing automation workflows using Python and Perl, improving efficiency and productivity.
Business IntelligenceData AnalysisAutomationData EngineeringSoftware Development

Education

Indian Institute of Science (IISc)

Certification Course โ€” Applied AI: Advanced Deep Learning Course

Mar 2025 โ€“ Nov 2025

Indian School of Business

Certification Course โ€” Organizational Leadership

Jun 2024 โ€“ Nov 2024

Indian Institute of Science (IISc)

CCE Course โ€” Reinforcement and Deep Reinforcement Learning

Aug 2021 โ€“ Dec 2021

Vellore Institute of Technology

Master of Technology - MTech โ€” Software Engineering(5-Year)

Jul 2015 โ€“ Jul 2020

Karlsruhe Institute of Technology (KIT)

Bachelor of Science - BS โ€” Mechanical Engineering

Jan 2014 โ€“ Jan 2015

Manava Bharati India International School

Senior Secondary Certificate (CBSE)

Jan 2009 โ€“ Jan 2014

Rama Global School, Indonesia

Primary and Secondary School - (ICSE)

Aug 1997 โ€“ May 2008

Stackforce found 100+ more professionals with Software Development & Machine Learning

Explore similar profiles based on matching skills and experience