Shubham is a top engineer holding a bachelor's degree in CS from IIT (Top 5 CS programs). He loves solving challenging problems. He has a deep passion for engineering & technology.
Experience
2024 — Now
AI-powered discovery of Natural Resources,
Subsurface Intelligence supporting Mining, Clean Energy, Oil & Gas, Gold Hydrogen, Geothermal, Water Resources & Carbon Storage.
HORIZON - AI-driven models for analyzing geological structures & forecasting regional resource potential
SERENDIPITY - Data Integration Engine merging multiple datasets for a holistic view of the subsurface
MODALITY - Petrophysical Simulation Engine for insights into rock and fluid properties
FIDELITY - Resource Extraction models optimising for maximum efficiency and sustainability
✅ Responsibilities
• Leading the design & development of highly efficient, reliable & scalable systems, infrastructure using AI & open source LLMs, direct collaboration with stakeholders to translate business requirements into technical solutions
• Developed a suite of custom AI agents using LLMs, RAG, LangChain, LangGraph and Vector databases to speed up resource discovery workflows, automate geological decision-making, and enhance overall operational efficiency
• Optimized compute resources, reduced operational costs by monitoring GPU clusters
• Improved existing infrastructure of our platform, ensuring maximum uptime & optimal performance, identified and rectified bottlenecks resulting in faster load times
• Built several ML models for predicting the possibility of mineral resources within a specific region, reduced time required by traditonal exploration techniques by almost 95 %
2023 — 2024
Rupeezy is a multi-asset trading platform for individuals offering brokerage accounts to trade across various assets, including stocks, commodities, futures, options, cryptocurrencies, indices, and ETFs.
It provides a one-stop solution for all trading needs, featuring trading APIs for building algorithmic strategies, personalizing interfaces with real-time data, executing precise trades, and accessing historical candle data.
It aims to simplify trading with advanced tools and features like TradingView charts, multiple screen trading, drawing tools, and indicators.
✅ Responsibilities
• Built high-performance automated trading systems that process real-time market data with low latency executing trades in microseconds
• Modernized existing systems for handling increased transaction volumes, implemented a high-performance, scalable architecture that can handle massive data volumes (up to 100 million records) with minimal latency
• Engineered multiple algorithmic trading strategies that boosted revenue and improved performance significantly by 20x. Streamlined automated conversion of unstructured financial data into structured data for use cases within the company.
• Integrated Stripe Payments and PayPal APIs into existing systems covering entire payment lifecycles & all possible scenarios adhering to regulatory compliance
2021 — 2023
Dhruv Technology Solutions is a global provider of comprehensive business solutions, serving clients across a diverse range of major industries, including automotive, electronics, medical devices, semiconductors, and solar.
It offers a wide array of services, such as business intelligence, integration solutions, manufacturing execution systems, cloud solutions, and custom application development.
Founded in 1999, Dhruv Technology Solutions has established a strong presence worldwide, with its offices in the USA, India, Singapore, Malaysia, Netherlands, and Latvia.
✅ Responsibilities
• Designed and built high-performance, scalable backend systems using microservices including various REST-APIs and integrated third-party APIs seamlessly into our systems
• Built fully automated systems processing SMS & E-mail notifications for an engaging customer experience, improved existing customer retention by 125%
• Developed an integrated CRM system to streamline customer engagement and support. Implemented features for tracking user interactions, managing customer inquiries, and analyzing user behavior to enhance service delivery.
• Deployed, scaled, and managed containerized applications across multiple servers or cloud environments using Docker and Kubernetes.
Education
Indian Institute of Technology Hyderabad