RUTURAJ MOHANTY

CTO

South Delhi, Delhi, India9 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Led AI-driven financial solutions at Alpha Trade AI.
Developed innovative multi-agent systems for healthcare.
Expert in Generative AI and cloud infrastructure.

Stackforce AI infers this person is a Fintech and Healthcare AI expert with strong cloud infrastructure skills.

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Skills

Core Skills

Artificial IntelligenceSolution ArchitectureGenerative AiAmazon Web Services (aws)Machine Learning

Other Skills

AgentsAlgorithm DesignAlgorithmsAndroid DevelopmentArtificial Neural NetworksBatch ProgrammingBisonC#CSSCloud ComputingComputer VisionDBMSData AnalysisData ScienceData Structures

About

With over a year as Chief Technology Officer at Alpha Trade AI, I lead the development of cutting-edge, AI-driven financial solutions. My work focuses on designing and deploying Generative AI agents for comprehensive market analysis, utilizing tools such as LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). By ensuring a secure, scalable AWS cloud infrastructure and robust DevOps pipelines, our team delivers high-performance platforms, including research terminals, educational modules, and mobile applications, that empower users to make data-driven decisions. Previously, as CTO at Nexus Ocean AI, I spearheaded the creation of three flagship AI products, integrating advanced multi-agent systems and cost-effective Generative AI models. My leadership ensured scalable, secure, and reliable cloud deployments on GCP, driving innovation in maritime intelligence. Passionate about leveraging AI to solve complex challenges, I aim to align technology strategies with business goals, enabling impactful and transformative solutions.

Experience

9 yrs

Total Experience

1 yr 7 mos

Average Tenure

1 yr 11 mos

Current Experience

Alpha trade ai

Chief Technology Officer

Jul 2024 – Present · 1 yr 11 mos · Newyork · Hybrid

As CTO at AlphaTradeAI, I drive the technology strategy, roadmap, and execution, leading a high-performing tech team to deliver innovative, AI-driven financial solutions. I architect and deploy Generative AI agents for fundamental, technical, economic, and crypto market analysis using multi-agent orchestration, LangChain, LangGraph and RAG.
I oversee the development of our research terminal, educational modules, and mobile applications, ensuring a secure, scalable, and high-performance AWS cloud infrastructure with strong DevOps pipelines and enterprise-grade security measures. My role spans AI innovation, data management, and analytics, while collaborating across Marketing, Sales, and Customer Support to align technology with business goals. I also engage with investors, partners, and the board to communicate progress and vision.

Data ScienceData WarehousingData VisualizationData AnalysisMachine LearningPrototyping+7

Perinimble

Technical Lead

Aug 2023 – Jul 2024 · 11 mos · United States · Remote

Led the end-to-end development and deployment of a Voice Navigation System for website navigation using RAG architecture with Knowledge Graph and OpenAI GPT-4, orchestrated with LangChain, ensuring robust data management with DVC, containerizing the application with Docker, storing it in Amazon ECR, deploying on Amazon EC2, serving using FastAPI and implementing CI/CD with GitHub Actions, while leading a team of 6 to enhance customer experience through voice commands.
Designed and implemented a Medicine Recommendation System for psychiatric patients, utilizing a LangFlow-based multi-agent system to analyze assessment data, BHCM intake notes, and problem list data. Containerized the solution using Docker and deployed it on AWS EC2, enabling seamless and accurate medication recommendations to enhance clinical decision-making.
Developed a scalable solution for energy meter usage analysis, detecting outliers and performing pattern recognition for 5 million users across the USA, Australia, and Europe. Leveraged time-series models such as Prophet and Neural Prophet to identify periods of higher usage and suggest optimal, cost-effective energy usage hours to clients. Implemented incremental training for time-series models to handle high-volume real-time requests effectively, enhancing energy management and cost savings for clients.

Generative AIAmazon Web Services (AWS)Retrieval-Augmented Generation (RAG)Pattern RecognitiondockerFastAPI

Wiingy

Online Tutor

Oct 2022 – Dec 2023 · 1 yr 2 mos · Remote

TypeScriptC#JavaMachine LearningReact.js

Codeyoung

Online Mentor

Sep 2022 – Oct 2023 · 1 yr 1 mo · India · Remote

Superprof

Instructor

Apr 2022 – Jan 2025 · 2 yrs 9 mos · Newyork · Remote

Consult to Industry Professionals and Teach Artificial Intelligence, Machine Learning, Statistics, Advance Math, Python etc. to Grad Students.

Artificial IntelligenceArtificial Neural NetworksDeep LearningPython

Turing

Senior Data Scientist

Dec 2020 – Jul 2024 · 3 yrs 7 mos · California, United States · Remote

Fine Tuning Large Language Models (LLM's), A/B Testing of LLM, Reinforcement Human Feedback Learning (RHFL), Prompt Engineering, Advance Dataset Analysis

Reinforcement LearningNatural Language Processing (NLP)Artificial IntelligenceData AnalysisMachine Learning