Hi, I'm Aditya Gangwani
ML Engineer & Technical Project Manager
Building end-to-end ML systems and leading technical projects — from retail demand forecasting pipelines to AI productivity agents. 3rd-year ECE student at MSRIT with hands-on experience shipping real systems at Samsung R&D.
About Me
Research Intern at Samsung | AI & Project Management Enthusiast
Who I Am
I'm a 3rd-year ECE student at MSRIT who builds ML systems and manages technical projects end-to-end. Currently at Samsung R&D working on an AI-powered appliance troubleshooting system. My projects span machine learning pipelines, AI agents, reinforcement learning, and DevOps automation — all shipped with clean code, real data, and measurable outcomes. I'm looking for roles where I can combine technical ML execution with structured project delivery.
Academic Focus
3rd-year B.E. Electronics & Communication Engineering at MSRIT, with coursework and project focus on machine learning, AI systems, and technical project management.
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. Optimized OCR pipeline architecture for production efficiency.
Key Achievements
- Built a multi-stage image processing and OCR pipeline using OpenCV and EasyOCR to detect and extract error codes from appliance displays in real time.
- Optimised pipeline latency by introducing early-exit preprocessing — skips redundant steps when text is detectable early, maintaining 90%+ extraction accuracy.
- Implemented dictionary-based validation and candidate scoring as a post-processing layer to improve error code interpretation reliability across diverse device models.
Early-stage social media startup — content and SEO operations team.
Key Achievements
- Managed end-to-end delivery of 7+ weekly content and SEO deliverables across a 2-month engagement with zero missed deadlines.
- Introduced Kanban-style workflow tracking using Notion that reduced weekly planning overhead and improved team visibility across 15+ active milestones.
- Applied Agile sprint cadence to a non-engineering team, demonstrating Scrum practices in a real cross-functional setting.
Featured Projects
Showcasing my best work and experiments
Highlights
- •Built a full pipeline from data ingestion → preprocessing → SQL analytics → ML training → dashboard export with strict dataset isolation
- •Trained and evaluated Random Forest, XGBoost, and Linear Regression with 5-fold CV, achieving up to 0.985 R² and stable generalization
Highlights
- •Thompson Sampling delivers ₹12.13Cr revenue (+39.09% over static baseline) with 3.38% default rate, converging by month 9 under 3-month delayed feedback and a mid-simulation economic shock
- •10-feature context vector (CIBIL, utilization, income percentile, payment streak, spending volatility) drives per-user credit limit actions across 4 tiers: keep, +10%, +20%, +50%
Highlights
- •Built a multi-service platform spanning pipeline monitoring, AI error analysis, GitHub integration, and pre-deploy risk review
- •Implemented human approval in the loop as a deliberate product governance and risk-management mechanism, ensuring controlled remediation workflows
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
- •Engineered using FastAPI and Telegram Bot API
- •Hybrid decision pipeline combining rule-based routing and LLM-driven planning
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
Jira
Trello
MS Project
Leadership & Product Initiatives
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