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
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 %
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
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