Available to hire
I am Monil Kantwala, an AI/ML Engineer with 5+ years of hands-on experience delivering Python-based AI/ML solutions for financial services, commodities, and open-source projects. I partner with cross-functional teams to translate business goals into AI project requirements and design robust, scalable systems. My focus is on creating practical, end-to-end AI applications that deliver real business value while maintaining rigorous standards for reliability and auditability.
I stay current with generative AI, LangChain, Hugging Face, and vector databases, and I enjoy building solutions that span data ingestion, model deployment, and intuitive dashboards. I actively contribute to the AI/ML community through blog posts, Tech-Meetups, and open-source collaborations, always seeking opportunities to learn, share, and improve the state of the art.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
AI/ML Engineer at Stradigi AI
December 1, 2023 - PresentDeveloped a modular agentic framework to automate complex web scraping tasks using Selenium and the OpenAI API, enabling adaptive multi-step navigation, dynamic form interactions, and data extraction. Implemented a scheduler to enforce site-specific rate limits, and used asyncio and Selenium Grid to run hundreds of headless browser instances in parallel, achieving thousands of pages per hour. Added data validation, deduplication, and post-scrape serialization to JSON/CSV, wiring outputs into downstream ETL pipelines for cleansing and storage. Authored technical docs and ran hands-on workshops for engineering and QA teams for smooth handover.
AI/ML Engineer at Stradigi AI
December 1, 2023 - PresentDeveloped a modular agentic framework orchestrating sequential scraping tasks with dynamic page navigation using Selenium, and adaptive decision-making via the OpenAI API. Built a scheduler to enforce site rate limits and SLAs, and executed hundreds of headless browser instances in parallel to achieve thousands of pages per hour. Implemented data validation, post-scrape serialization, and integrated downstream ETL workflows. Authored technical docs and led hands-on workshops for engineering and QA teams.
AI/ML Engineer at Stradigi AI
December 1, 2023 - PresentDeveloped a modular agentic framework orchestrating sequential scraping tasks with Selenium and the OpenAI API for adaptive decision-making. Implemented multi-step navigation and dynamic form interactions, handling changing DOM structures and CAPTCHAs via contextual language model queries. Built a scheduler enforcing site-rate limits and SLAs, and used asyncio and Selenium Grid to run hundreds of headless browsers in parallel. Implemented data validation, JSON/CSV outputs, and downstream ETL pipelines; authored technical docs and ran hands-on workshops.
AI/ML Engineer at Stradigi AI
December 1, 2023 - PresentDeveloped a Linux-based Python application leveraging Selenium and the OpenAI API to automate complex browser navigation and scraping. Designed a modular agentic framework to orchestrate sequential scraping tasks, handle dynamic page content, and adapt to changing DOM structures and CAPTCHAs via language-model prompts. Built a scheduler to enforce site-specific time windows and rate limits, and used asyncio with Selenium Grid to run hundreds of headless browsers in parallel, achieving thousands of pages per hour. Implemented data validation, de-duplication, and JSON/CSV outputs, streaming results into downstream ETL workflows. Produced technical docs and conducted workshops to ensure smooth handover.
AI/ML Engineer at Stradigi AI
December 1, 2023 - PresentDeveloped a modular agentic framework that orchestrates sequential scraping tasks, dynamic page navigation, and data extraction using Selenium for browser control and the OpenAI API for adaptive decision-making. Built prompt templates and fine-tuned instruction flows to guide the agent through multi-step navigation (e.g., login, pagination, dynamic filters), enabling it to handle changing DOM structures and CAPTCHAs via contextual language model queries. Created a scheduler layer enforcing strict time windows per site to comply with rate limits and SLAs. Leveraged Python's asyncio and Selenium Grid to run hundreds of headless browser instances in parallel, achieving thousands of pages per hour. Implemented data validation rules (schema checks, deduplication, field-level assertions), serialized outputs to JSON/CSV, and piped them into downstream ETL workflows for cleansing and storage. Authored technical docs, code samples, and runbooks; conducted hands-on workshops for engineering and
AI/ML Engineer at Stradigi AI
December 1, 2023 - PresentDeveloped a Python application in a Linux environment that uses Selenium and the OpenAI API to automate browser navigation and data scraping via an agentic workflow. Designed a modular agentic framework to orchestrate multi-step scraping tasks, including dynamic page navigation, form interactions, and data extraction. Implemented a scheduling layer to respect site rate limits, and used asyncio and Selenium Grid to run hundreds of headless browsers in parallel. Added data validation and ETL integration, and produced JSON/CSV outputs with comprehensive documentation and runbooks.
Senior Python Developer / AI ML Engineer at Evalueserve
December 31, 2022 - October 15, 2025Built a Python/VBA toolkit for real-time P&L calculations and derivatives pricing on a global desk. Implemented Black-Scholes, Monte Carlo simulations, VaR frameworks, and backtesting; integrated live market data via asynchronous clients; applied ML for forecasting and anomaly detection; automated variance reports and audit-ready outputs; mentored juniors. Enhanced scenario simulations with AI-driven parameter optimization, improving speed and accuracy of stress testing by 20%.
Senior Python Developer/ AI ML Engineer at Evalueserve
December 1, 2022 - October 15, 2025Developed Python/VBA toolkit for real-time P&L calculations and derivatives pricing (Black-Scholes, Monte Carlo), including live market data ingestion, backtesting, and end-of-day reconciliation. Applied ML models for forecasting and anomaly detection, automated variance reporting, and risk management insights. Mentored junior Quants to accelerate onboarding.
Senior Python Developer/ AI ML Engineer at Evalueserve
December 1, 2022 - October 1, 2025Developed Python/VBA toolkit for real-time P&L calculations for derivatives desks, exposing REST endpoints and integrating live market data via asynchronous clients. Implemented Monte Carlo and Historical VaR frameworks, applied ML models for forecasting and anomaly detection, and used AI-driven parameter optimization to improve stress tests. Automated trade blotter ingestion and reconciliations, built a backtesting engine, and produced audit-ready PDFs/Excel summaries. Mentored junior quants and collaborated with traders and risk managers.
Senior Python Developer / AI ML Engineer at Evalueserve
December 1, 2022 - October 1, 2025Led Python/VBA toolkit for real-time P&L calculations on a global derivatives desk. Implemented pricing engines (Black-Scholes, Monte Carlo), live market data ingestion via asynchronous Python clients (Bloomberg, CME feeds), and back-tested index strategies. Applied ML models (time-series forecasting, regression, anomaly detection) to identify unusual trade variances and flag reconciliation issues automatically. Enhanced stress testing with AI-driven parameter optimization, increasing speed and accuracy by 20%. Automated trade blotter ingestion from multiple feeds and SQL databases, wrote Python scripts to reconcile positions and compute daily P&L variances. Created Excel VBA macros to generate variance reports and reduce manual audit effort by 80%. Mentored junior quants and translated front-office requirements into technical specs.
Senior Python Developer/ AI ML Engineer at Evalueserve
December 1, 2022 - October 1, 2025Developed Python modules for Black-Scholes pricing and Monte Carlo simulation engines, exposed as REST endpoints, and integrated live market data via asynchronous Python clients. Implemented Monte Carlo and Historical VaR frameworks; applied ML models for time-series forecasting, regression, and anomaly detection to identify reconciliation issues. Enhanced scenario analysis with AI-driven parameter optimization, accelerating stress testing. Automated trade blotter ingestion from multiple data feeds and SQL databases; created Excel VBA macros for daily variance reports. Built a backtesting engine to run thousands of scenarios, generating P&L attribution and Greeks-by-trade reports. Automated generation of audit-compliant PDFs and Excel summaries for regulators and risk committees. Mentored junior quants and collaborated with traders and quants to translate business needs into technical specs.
Senior Python Developer/ AI ML Engineer at Evalueserve
December 1, 2022 - October 1, 2025Built a Python/VBA toolkit for real-time P&L calculations across derivatives desks, exposing pricing and scenario analyses via REST endpoints. Integrated live market data, implemented Monte Carlo and Historical VaR frameworks, and applied ML models for forecasting and anomaly detection. Enhanced stress testing with AI-driven parameter optimization and automated audit-ready report generation.
Python Developer at National Commodity & Derivatives Exchange (NCDEX)
February 28, 2021 - October 15, 2025Designed a comprehensive hedging options tool using Django REST backend to enable real-time hedging across commodity products. Implemented real-time Greeks for single- and multi-leg positions, built a scenario engine for market shocks, and integrated Bloomberg/Markit feeds for live data. Containerized the application with Docker and deployed for secure operations; delivered end-to-end P&L and Greeks calculations and automated end-of-day reconciliations.
Python Developer at National Commodity & Derivatives Exchange (NCDEX)
February 1, 2021 - October 15, 2025Designed and delivered a hedging options tool using Django, enabling real-time Greeks, pricing engines, scenario analysis, and P&L reconciliation. Implemented REST endpoints, role-based views, Docker deployment, and automated audit-ready reports; integrated Bloomberg/Markit feeds, reconciled trades, and supported risk controls.
Python Developer at National Commodity & Derivatives Exchange (NCDEX)
February 1, 2021 - October 1, 2025Designed a comprehensive hedging options tool using Django for real-time Greeks, scenario analysis, and P&L reconciliation. Built a scenario engine, integrated trade blotters, implemented role-based views, containerized with Docker, and collaborated with traders and quants to refine requirements.
Python Developer at National Commodity & Derivatives Exchange (NCDEX)
February 1, 2021 - October 1, 2025Designed and delivered a comprehensive hedging options tool built on Django to help traders analyze and execute hedging strategies across commodity products in real time. Automated real-time Greeks calculations for single-leg and multi-leg positions, developed a scenario engine to simulate market shocks, and implemented end-of-day reconciliation with trade feeds. Modeled domain entities in PostgreSQL, exposed services via REST endpoints, containerized with Docker, and deployed on a secure local environment. Conducted requirements workshops with traders and risk managers to refine use cases, acceptance criteria, and UX.
Python Developer at National Commodity & Derivatives Exchange (NCDEX)
February 1, 2021 - October 1, 2025Designed and delivered a Django-based hedging options tool for real-time construction, analysis, and execution of hedging strategies across commodity products. Implemented real-time Greeks calculations (Delta, Gamma, Vega, Theta, Rho) for single- and multi-leg positions, with ultra-low latency. Built a scenario engine to simulate market shocks and projected P&L and risk metrics. Integrated trade blotters (Bloomberg, Markit feeds) for reconciliations; containerized the application with Docker and deployed for secure operations. Implemented role-based views to tailor data and controls for traders, risk managers, and compliance officers.
Python Developer at National Commodity & Derivatives Exchange (NCDEX)
February 1, 2021 - October 1, 2025Designed and delivered a Django-based hedging options tool with real-time Greeks, scenario analyses, and P&L reconciliation. Built a scenario engine, integrated trade blotters, and end-of-day position snapshots; containerized the app with Docker; collaborated with traders and quants to refine use cases and acceptance criteria.
Education
Bachelor of Technology at Indian Institute of Technology (IIT) India
January 11, 2030 - October 1, 2025Foundations of Large Language Models at University of Waterloo
January 11, 2030 - October 1, 2025Foundations of Large Language Models at University of Waterloo
January 11, 2030 - October 1, 2025Bachelor of Technology at Indian Institute of Technology (IIT)
January 11, 2030 - October 1, 2025Bachelor of Technology at Indian Institute of Technology (IIT)
January 11, 2030 - October 1, 2025Foundations of Large Language Models at University of Waterloo
January 11, 2030 - October 1, 2025Certification - Foundations of Large Language Models at University of Waterloo
January 11, 2030 - October 1, 2025Bachelor of Technology at Indian Institute of Technology (IIT)
January 11, 2030 - October 1, 2025Certification at University of Waterloo
January 11, 2030 - October 15, 2025Bachelor of Technology at Indian Institute of Technology (IIT)
January 11, 2030 - October 15, 2025Certification - Foundations of Large Language Models at University of Waterloo
January 11, 2030 - October 15, 2025Bachelor of Technology at Indian Institute of Technology (IIT)
January 11, 2030 - October 15, 2025Qualifications
Foundations of Large Language Models
January 11, 2030 - October 1, 2025Foundations of Large Language Models
January 11, 2030 - October 1, 2025Foundations of Large Language Models
January 11, 2030 - October 1, 2025Foundations of Large Language Models Certification
January 11, 2030 - October 1, 2025Foundations of Large Language Models
January 11, 2030 - October 15, 2025Certification - Foundations of Large Language Models
January 11, 2030 - October 15, 2025Industry Experience
Financial Services, Software & Internet, Professional Services, Media & Entertainment, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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