Hi, I'm Aditya Gangwani
Project Manager & Software Engineer
Building intelligent systems with a blend of project execution and software engineering. Currently a Research Intern at Samsung R&D, working on AI-powered solutions with expertise in LLMs, Computer Vision, and full-stack development.
About Me
Research Intern at Samsung | AI & Project Management Enthusiast
Who I Am
Building intelligent systems with a blend of project execution and software engineering. Currently a Research Intern at Samsung R&D, working on AI-powered solutions with expertise in LLMs, Computer Vision, and full-stack development.
Academic Focus
Currently pursuing a B.E. in Electronics & Communication Engineering at MSRIT with a focus on AI applications, project delivery, and intelligent software systems.
Education
Work Experience
Professional roles and contributions
Developing an AI-powered appliance troubleshooting system using Computer Vision and OCR to detect and interpret error codes from device displays.
Key Achievements
- Built a multi-stage image processing and OCR pipeline using OpenCV and EasyOCR
- Implemented dictionary-based validation and candidate scoring mechanisms
- Achieved robust text extraction with 90%+ reliability on complex device displays
Coordinated cross-functional teams (SEO & content) to deliver weekly deliverables and optimize team workflows.
Key Achievements
- Delivered 7+ weekly deliverables with efficient workflow execution
- Implemented process optimizations with Excel-based tracking for 15+ milestones
- Reduced meeting time by 25% and improved team productivity
Featured Projects
Showcasing my best work and experiments
Highlights
- •Built a multi-service platform spanning pipeline monitoring, AI error analysis, GitHub integration, and pre-deploy risk review
- •Implemented an observe-reason-act loop with webhook ingestion, root-cause analysis, Slack alerts, and approval-based remediation flows
Highlights
- •Engineered using FastAPI and Telegram Bot API
- •Hybrid decision pipeline combining rule-based routing and LLM-driven planning
Highlights
- •Trained a TD3 agent with twin critics, clipped double-Q learning, delayed policy updates, and target policy smoothing on a continuous 2D action space
- •Engineered a 20-checkpoint F1-style Catmull-Rom spline track with hairpins, chicanes, S-curves, and a 5-ray raycasting sensor suite for 11-dimensional state observation
Highlights
- •92% prediction accuracy on 20+ features
- •Full-stack web application deployed on Render
Skills & Expertise
Technical capabilities and professional competencies
Stakeholder Management
Agile & Scrum
Risk Management
Process Improvement
Cross-functional Collaboration
Roadmapping
KPI Tracking
Leadership & Positions of Responsibility
Led a 2-day STEM outreach for 100+ students, delivering hands-on sessions on sensors, TinkerCad, and design thinking.
100+ students engagedLed logistics and outreach for 25+ tech events; scaled student participation and ensured seamless execution.
2,800+ students reachedLaunched joint initiatives across 100+ student branches, improving engagement and inter-branch collaboration.
100+ student branchesCoordinated 50+ technical events; improved internal communication workflows and ensured timely delivery.
50+ events coordinatedProfessional Certifications
Credentials and continuous learning achievements
Learned Agile and Scrum frameworks, team roles, ceremonies, and artifacts; built prioritized backlogs and enabled iterative delivery.
View CredentialApplied execution strategies including KPI tracking, risk mitigation, stakeholder reporting, and cross-functional coordination.
View CredentialDeveloped skills in project planning, milestones, resource allocation, scheduling, and risk management.
View CredentialLearned to define project scope, goals, deliverables, and perform stakeholder analysis.
View CredentialMastered ML concepts, supervised and unsupervised learning, Classification, Regression, Clustering, and Dimensional Reduction.
View CredentialAcquired expertise in end-to-end data analysis workflows, from data wrangling and cleaning to visualization, and leveraged key Python libraries like Pandas, NumPy, and Matplotlib to extract actionable insights from datasets.
View CredentialHands-on expertise in ML, Deep Learning, NLP, Computer Vision, and AI ethics.
View CredentialAcquired practical skills in Python programming, data structures, file operations, and logic building; utilized Pandas, NumPy, and APIs for data analysis in a Jupyter Lab environment.
View CredentialLet's Connect
Have a project in mind or want to collaborate? I'd love to hear from you.
Phone
+91 8824979997Location
Bangalore, India