Sanskar Mankar — AI Researcher
Accomplished Quantitative research and AI/ML Engineer with a proven track record in developing sophisticated trading strategies and artificial intelligence solutions. Demonstrated expertise in building custom Large Language Models using LLaMA architecture, worked with yolo on multiple image and video analysis project, showcasing deep technical proficiency in AI development. Currently focused on quantitative finance, specializing in systematic trading strategy development and implementation. Successfully designed and deployed high-frequency intraday options trading strategies for index markets, coupled with profitable cryptocurrency trading algorithms that consistently generated alpha returns. Core competencies span algorithmic trading, statistical arbitrage, derivatives pricing, and machine learning applications in financial markets. Combine strong mathematical foundations with practical trading strategy implementation, leveraging both traditional financial instruments and digital assets to create robust, market-neutral solutions. Proven ability to bridge the gap between cutting-edge technology and practical financial applications, delivering measurable results in both AI development and quantitative trading domains.
Stackforce AI infers this person is a Fintech expert specializing in AI and quantitative trading solutions.
Location: Akola, Maharashtra, India
Experience: 1 yr
Skills
- Quantitative Finance
- Algorithmic Trading
- Artificial Intelligence (ai)
- Machine Learning
Career Highlights
- Expert in developing AI-driven trading strategies.
- Proven track record in quantitative finance and algorithmic trading.
- Skilled in building custom Large Language Models.
Work Experience
UnTrade
Quantitative Researcher (9 mos)
RajYug Solutions Ltd
AI Developer (4 mos)
AI/ML developer (4 mos)
Education
Bachelor of Technology - BTech at MIT ADT University