Dec 2020 – Jun 2023 · 2 yrs 6 mos · Hybrid

• Led the design and implementation of the KNIT Finance mainnet, enabling secure cross-chain asset transfers.
• ● Built and managed the blockchain development team, overseeing architecture, testnet, and mainnet deployment.
• ● Successfully facilitated the listing of KNIT Finance token on Gate.io, enhancing liquidity and market presence.
• ● Developed a cross-chain asset-swapping architecture, integrating multiple blockchain ecosystems

Sep 2020 – Feb 2021 · 5 mos

• Collaborated with scientists from Indian Council of Agricultural Research (ICAR) and EY to develop an AI-driven crop disease and pest detection system, improving early diagnosis and reducing crop losses.
• ● Designed and implemented a scalable AI solution, leveraging computer vision, deep learning, and transfer learning to detect plant diseases with high accuracy.
• ● Integrated YOLO and Mask R-CNN models for real-time detection and classification of pests and diseases across diverse crop types.
• ● Conducted data collection and annotation using field images, ensuring the model's robustness in real-world agricultural settings.
• ● Optimized the AI pipeline for mobile deployment, enabling farmers and agronomists to use the system via smartphone applications.
• ● Provided technical consultancy on AI model scalability and cloud deployment, ensuring seamless integration with ICAR’s agricultural database.

Sep 2018 – Jan 2024 · 5 yrs 4 mos · Dehradun

• ● Established and led a Biofield Research Lab, fostering innovation and interdisciplinary collaboration. This lab was established in conjunction with Sanskriti Vishwadalaya and Himalayan Institute.
• ● Secured university funding for a project on drunk driver identification using thermal imaging, overseeing dataset creation and AI model development.
• ● Spearheaded a collaboration with the Forest Research Institute (FRI) for a machine learning-based flora detection model in the Middle Himalayan region.
• ● Worked with Wildlife Institute of India (WII), the nodal agency for tiger movement prediction, analyzing data for wildlife conservation and AI-driven ecological studies.
• ● Led AI & Machine Learning research initiatives, contributing to in-house and international publications.
• ● Designed and executed proof-of-concept research projects, exploring new tools, methods, and Algorithms in AI.
• ● Directed full-cycle machine learning system implementation, including data generation, model design, feature engineering, system development, and evaluation.

Aug 2017 – Aug 2018 · 1 yr · Greater Hyderabad Area

• Analyzed client trading data to optimize Copy Trading strategies, enhancing trade execution and performance.
• ● Designed and developed a Decentralized Exchange (DEX) for Primetrade.ai, enabling secure and efficient crypto transactions.
• ● Built an AI-powered state-of-trading system, leveraging machine learning to automate decision-making for global crypto
• market trading.

Feb 2015 – Nov 2017 · 2 yrs 9 mos · Noida, Uttar Pradesh, India

• ● Conducted doctoral research on AI-driven trading strategies, focusing on market phase prediction and trade signal
• generation.
• ● Developed a Bayesian model to classify market phases, enabling adaptive trading strategies based on prevailing conditions.
• ● Designed a Fuzzy Logic-based system to generate trading signals specifically for sideways markets, improving decision-making
• in low-volatility conditions.
• ● Published research in AI and Finance, contributing novel methodologies to algorithmic trading and market analysis.

Oct 2014 – Feb 2015 · 4 mos