Industrial robotics
Robotic arms, drones, IoT integration and assembly-line systems designed around sensing, motion, control and reliable operation.
Agilam Labs · Research & Development
Research. Engineer. Industrialize.
Agilam Labs is an independent R&D laboratory building industrial robotics, production-grade AI agents, advanced machine-learning systems and financial decision models—from research questions to production-ready outcomes.
Research programmes
R&D built to survive contact with the real world.
Each programme connects scientific depth to an operational end state: a working machine, a dependable agent, a validated model or a better financial decision.
Production-grade AI agents
Multi-agent systems, browser-isolated tools, memory layers and workflow orchestration engineered for deployment rather than demonstrations.
State-of-the-art ML models
Machine-learning and computer-vision systems developed through rigorous experimentation, evaluation and domain-specific modelling.
Derivatives models for hedging
Options pricing, Greeks, volatility, VaR, CVaR and scenario models for understanding exposure and structuring risk decisions.
Equity research & business models
Financial, business and agentic research models that connect corporate evidence to valuation, competitive context and investment decisions.
Work that moves
from idea to impact.
Selected examples of product thinking, delivery leadership and technical execution, supported by a broader research archive.
Capacity
Internal automation initiative
Led a three-person team across discovery, architecture, development coordination, testing and deployment. Converted an ambiguous process problem into a governed delivery plan and production workflow.
- Outcome
- 8 FTE equivalent capacity savings
- Ownership
- End-to-end delivery and execution governance
Alignment
Multi-disciplinary AI delivery
Directed a client-side project spanning two developers, a data scientist and a business analyst. Managed scope, delivery plans, ownership, stakeholder updates and agile execution.
- Team
- Four specialists across product and technology
- Artifacts
- BRDs, PRDs, FSDs, KPIs and acceptance criteria
Insight
Learning-behaviour intelligence
Built models that connected rewinds, repeated views, watch duration and engagement to difficult learning topics. This helped teams identify premium content opportunities and prioritize future modules.
- Decision
- Content, pricing and retention strategy
- Approach
- Video- and topic-level behavioural analytics
Complete project catalogue
Twenty-seven research and engineering builds, grouped by domain and shown together.
Artificial intelligence & agentic systems
5 projectsMulti-Agent Equity Researcher
2026Browser-Isolated Web Tool for AI Agents
2026Graph RAG Agent Memory Layer
2026Earnings Call Transcription & Summarization
2025Minutes of Meeting Generator
2025Quantitative analysis & derivatives
7 projectsBayesian Price Reversal Model
2024Efficient Frontier Portfolio Optimizer
2024Portfolio Monte Carlo Simulation
2024Options Pricing & Greeks
2024VaR & CVaR Models
2024Historical Volatility & Risk-Return Measures
2024Implied Volatility Curve
2024Machine learning & image processing
7 projectsDocument Data Extractor
2025Movie Recommendation System
2024Face Emotion Detection
2023Image Cipher Generator
2023Video Subtitle Generator
2023Anemia Detection from Eye Images
2023Breast Cancer Detection from Medical Images
2023Industrial robotics & aerial systems
4 projectsSix-Degree-of-Freedom Robotic Arm
2021Omnidirectional Mecanum Robot
2021Custom 3D Printer
2021Hexacopter for Flood & Crop Surveys
2021Embedded systems & IoT integration
4 projectsGreenhouse Parameter Monitoring
2020Connected Home Automation
2020Traffic & Parking Management
2019Soil Moisture & Nutrient Monitoring
2019Research depth.
Delivery discipline.
Gokul brings product direction, project governance and technical architecture together so research can move toward dependable implementation.
Find the valuable problem
Translate ambiguous needs into a coherent product direction, measurable success and prioritized learning.
- Discovery & problem framing
- PRDs, KPIs & North Star metrics
- Roadmaps & acceptance criteria
- Product analytics
Make progress visible
Create the structure teams need to move: clear ownership, delivery plans, stakeholder rhythm and risk control.
- Agile project management
- Scope, dependencies & governance
- Cross-functional team leadership
- Stakeholder communication
Understand what must be true
Shape credible architectures and prototypes with enough technical depth to make better trade-offs.
- Agentic AI & multi-agent systems
- ML & data architecture
- Cloud, Docker & deployment
- Financial and statistical modelling
Working toolkit
SDLCAgileFigmaPythonLangGraphMCPDockerAWSGCPTableau
A career built
across boundaries.
Electronics became machine learning; machine learning expanded into business, finance, product decisions and delivery leadership.
Associate Business Scientist
Product · Projects · AI systemsOwned AI and automation initiatives from discovery through deployment as a project manager, solution architect and product translator.
Machine Learning Engineer
Product analytics · Applied MLConnected product usage behaviour to content, pricing, retention and revenue decisions through machine-learning and analytics systems.
Education
MBA, Finance & Business Intelligence
SRM Institute of Science and Technology
B.E., Electronics & Communication
Maharaja Institute of Technology Mysore
Selected credentials
- Google Business Intelligence
- Statistics · Stanford University
- Mathematics for ML · DeepLearning.AI
- Python for Financial Analysis · HKU
- Capital Markets & Derivatives · NSE
Leadership beyond the job title
Technical Head at IEEE RAS, winning team lead at Agam 5.0, and team lead across e-Yantra, Smart India Hackathon, Symbiot and Webathon.
Ideas become real
when they move.
Field notes from an earlier chapter of the lab: robotics, electronics and embedded systems. Visit Agilam Labs on YouTube ↗
Robotics · 0:36
Walking Robot Biped
A compact two-legged robot demonstrating balance, mechanical movement and embedded control.
Bring the problem
before the solution.
I’m exploring product and project leadership roles, as well as focused research collaborations through Agilam Labs.
Product leadership
For teams that need sharper problem framing, clearer requirements, measurable outcomes and technical fluency.
Product Manager · AI Product ManagerProject delivery
For multi-disciplinary initiatives that need aligned ownership, delivery cadence, stakeholder clarity and execution governance.
Project Manager · Technical Program ManagerApplied research
For ambitious questions in agentic systems, financial intelligence, product experimentation or physical computing.
Agilam Labs · Research collaboration
Open to the right conversation
Let’s turn a difficult question into forward motion.
Tell me what you are trying to change, what makes it hard and what success should look like.