Aditya Nair

Product Manager
⋄ Bangalore
⋄
OBJECTIVE
Product-oriented Software Engineer with 2+ years of experience building and scaling intelligent, data-driven products
across AI, robotics, and enterprise systems. Proven track record of leading products end-to-end from discovery, PRD
development, and roadmap definition to agile execution and iterative optimization. Strong expertise in AI systems,
generative AI applications, and analytics-driven decision-making. Adept at translating complex technical capabilities
into customer-centric solutions that align business objectives with scalable engineering execution. Passionate about
building impactful AI-powered products that drive measurable outcomes.
EXPERIENCE
Software Product Developer, March 2025 – Present
916 Coco Brand Pvt Ltd Ernakulam, India
• Designed, developed, and deployed a full-scale enterprise ERP system automating procurement,accounting, sales,
inventory, production and transfers across multiple business units.
• Worked directly with operations, finance, and sales teams to define requirements, model workflows, and translate
business needs into production-ready software.
• Built end-to-end inventory, inter-unit transfer, and processing workflows with real-time tracking, variance detection
and automated stock and ledger updates.
• Implemented core accounting and compliance features including ledgers, vouchers,financial statements, taxation
and branch-level profitability reporting.
• Developed real-time dashboards, reports, and notification systems enabling leadership to monitor operational and
financial KPIs in a single platform.
• Currently building AI-driven forecasting and analytics modules to improve demand planning, inventory optimiza-
tion and operational decision-making.
Software Engineer - Teleoperations (Research and Development), July 2023 - Jan 2025
Controlone AI Bangalore, India
• Contributed to building an operating system for slow-moving industrial vehicles (forklifts, BOPT, and similar
equipment) to enable driverless and teleoperated warehouse automation.
• Developed a web application to monitor and operate the physical AI agent, enabling real-time vehicle telemetry,
live video streaming, and low-latency control inputs for remote operators.
• Implemented text-to-text and voice-based interactions including voice-to-text, text-to-voice, and voice-driven LLM-
powered operations to simplify vehicle control and task execution.
• Built a vision-based autonomous system for industrial vehicles, taking it from MVP to production-ready deploy-
ment with reliable perception and decision-making capabilities.
• Worked hands-on with ROS2 nodes, simulators, and physical vehicles, integrating software directly with real-world
robotic systems in warehouse environments.
• Designed and enhanced human–vehicle interaction systems ensuring safe, responsive, and intuitive teleoperation
and assisted-autonomy scenarios.
• Collaborated on evolving the platform from traditional robotics control to AI-driven agent architecture supporting
scalable warehouse deployment.
• Integrated ROS2-based automation pipelines with backend services and databases to support real-time monitoring,
analytics, and operational visibility.
[REDACTED] [REDACTED]
[REDACTED]
+91 98222 39415 98222 39415
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EDUCATION
Bachelor of Technology in Computer Science and Engineering 2019 - 2023
Amrita Vishwa Vidyapeetam, Amritapuri, Kerala.
SKILLS
Product Management Product discovery, PRD creation, Requirements gathering, Feature prioritization,
Roadmapping, Agile (Scrum), Sprint planning, Stakeholder management, KPI tracking,
Product analytics, Market & user research
AI Product Generative AI applications, AI feasibility analysis, Responsible AI, AI product lifecycle,
AI use case development
Software Development SDLC, System design fundamentals, REST APIs, Backend architecture
Programming Python, JavaScript, C
Artificial Intelligence Machine Learning, Computer Vision, Model evaluation basics
Web Technologies React.js, Node.js, Express.js, HTML, CSS
Database SQL, MongoDB
Cloud AWS
UI/UX Figma, Adobe XD
CERTIFICATIONS
IBM AI Product Manager Professional Certificate. – IBM
Coursera Certificate Link
Microsoft AI Product Manager Professional Certificate. - Microsoft
Coursera Certificate Link
Product Design and UX/UI Fundamentals. - Microsoft
Coursera Certificate Link
PROJECTS
Intelligent Demand Forecasting Inventory Optimization Platform. Developed an AI-driven forecasting and
analytics platform focused on demand planning and inventory optimization. Implemented scalable backend services
and data pipelines, integrated machine learning models for time-series forecasting, and built interactive dashboards
for real-time insights. Applied AI techniques to improve operational decision-making, showcasing strong product
development and software engineering capabilities. (Git Link)
Surveillance Using Swarm of Drones. Developed an algorithm for a surveillance system using a swarm of drones
in a 2D simulation, inspired by the cooperative behavior of social insects. Leveraged swarm intelligence to create a
decentralized and self-organizing group of UAVs. Explored applications in various fields like agriculture, construction,
and search rescue. Demonstrated expertise in swarm robotics and simulation. (Git Link)
Organization Security Framework. Designed and implemented an organization-wide cybersecurity framework
following extensive research, addressing end-to-end security requirements. The system included an email client
for spoofed email classification, a network-level web application firewall (WAF) with detailed logging of suspicious
requests, and a secure password generator and manager. The research and system design were consolidated and
published as a technical paper, demonstrating strong capabilities in security research, system architecture, and
applied implementation.(Git Link)
Instagram Fake Account Detection. Developed a machine learning and data science project for identifying
fake Instagram accounts through supervised classification techniques. Performed data preprocessing and feature
engineering on social media account attributes, trained and evaluated multiple ML models, and deployed the best-
performing model as a web application for real-time inference. Showcased end-to-end ML development, backend
integration, and model deployment skills. (Git Link)
PUBLICATIONS
Organization Security Framework - A Defensive Mechanism.
International Conference on Sustainable Expert Systems (ICSES - 2022) Link