Algorithmic Trading Consultant | AI & ML | Python, JAVA, C# | Organic Farming | Tech Farming | Mutual Fund Advisor
Co-Founder & Lead Co-Founder & Lead Consultant at Trade Vectors LLP with 13+ years of specialized experience in algorithmic trading and quantitative finance. Holds a Master's in Computer Science from University of Massachusetts Lowell, USA, with proven expertise in building automated trading systems, leading technical teams, and delivering corporate training globally.
Key Differentiators:
Proven Track Record: Successfully designed and implemented multi-asset trading strategies with 25+ years of backtested data (2000-2025)
Global Teaching Experience: Certified NTUC trainer with SkillsFramework Singapore, instructor for algorithmic trading courses at NTUC Singapore in partnership with NSE India and Times Group
Advanced AI/ML Credentials: Diploma in Machine Learning and Artificial Intelligence from BITS Pilani
Multi-Platform Integration: Expert in 10+ trading platforms including Interactive Brokers, MetaTrader 5, QuantConnect, TradingView
Emerging AgriTech Focus: Currently expanding into sustainable farming technology with 40-acre organic farm operations
Platforms: Sterling Traders, Interactive Brokers, MT5, Trading Technologies, Robinhood, ThinkOrSwim, NinjaTrader, MultiCharts
AI/ML: Machine Learning algorithms for market prediction, Pattern recognition systems, Deep Learning models
Data Analytics: Quantitative analysis, Statistical modeling, Technical indicator development
Trained 500+ professionals in quantitative trading methodologies across Singapore and India
Research & Strategy Development
• AI-Powered Pattern Recognition: Advanced ML models using TensorFlow and PyTorch for multi-asset class trading
• Volume Profile Strategies: Quantitative analysis with technical indicator overlay using deep learning
• Live News Trading: Real-time sentiment analysis integration using NLP and neural networks
• IPO Trading Systems: Automated systems leveraging machine learning for IPO allocation and trading
• Multi-broker integration capabilities reducing vendor lock-in risks
• Proven backtesting methodologies with 25+ years of historical validation enhanced by machine learning
Innovation in AgriTech with AI Integration
• Currently managing 40-acre organic farming operation in Maharashtra, India
• Developing AI-powered solutions for sustainable agriculture and crop optimization
• Planning expansion into Gujarat with focus on IoT, machine learning, and automation in farming
• Unique perspective combining financial technology expertise with agricultural innovation
• Implementing machine learning models for crop yield prediction and optimization
• Developing IoT sensors with AI-powered analytics for soil and weather monitoring
• Creating automated irrigation systems using reinforcement learning algorithms
AI/ML in Finance
• Deep Learning for time series prediction and market forecasting
• Reinforcement Learning for trading strategy optimization
• Natural Language Processing for news and sentiment analysis
• Computer Vision for chart pattern recognition
Founded: 2012
Work Terms
Hours of Operation:
Monday–Friday, 9:00 AM–7:00 PM IST (flexible for urgent requests and international clients)
Payment Terms:
Milestone-based or hourly billing as per project scope
Invoices raised at milestone completion
Communication:
Available via Guru Messenger
Response within 12–24 hours
Project Management:
Agile methodology, regular updates, collaborative approach
Clear milestones and deliverables agreed in advance
Live demo on request for system delivery
Attachments (Click to Preview)
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