Maruti A.

CTO

Raleigh, North Carolina, United States16 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led AI innovation with a team of 10+ ML engineers.
Developed LLM-powered chatbots driving 5M+ monthly engagements.
Built high-performance image recognition systems processing 3M+ images daily.

Stackforce AI infers this person is a SaaS-focused AI and Machine Learning expert with extensive experience in computer vision and data science.

Contact

marutihereagain@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningData ScienceComputer Vision

Other Skills

AI innovationAPI integrationAlgorithmsAmazon Web Services (AWS)Anomaly detectionApache SparkBig DataCC++Clustering systemsComputer ScienceCross-functional Team LeadershipData AnalysisData MiningDeep Learning

About

As Head of AI at FuturePath AI and ShopAgain, I specialize in developing innovative AI-driven solutions. With extensive experience leading data science teams in startups, SMBs, and public companies such as Gazmetrix, Prime Vision, Sysomos, and Meltwater, I thrive on solving complex problems. My expertise spans across NLP, Computer Vision, and predictive modeling, consistently improving product performance and customer satisfaction. I am passionate about connecting with other AI professionals to share insights, collaborate on cutting-edge projects, and drive technological advancements. Let’s connect to explore synergies and push the boundaries of AI together.

Experience

16 yrs 6 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 5 mos

Current Experience

Tribe ai

AI Advisor

Feb 2024 – Sep 2025 · 1 yr 7 mos

Futurepath ai

Head of Artificial Intelligence

Dec 2023 – Present · 2 yrs 5 mos · California, United States · Remote

Leading AI innovation and 10+ ML engineers to build enterprise-grade generative AI solutions. Spearheaded multi-agent orchestration frameworks, RAG pipeline optimizations, and Llama 3.1 fine-tuning, delivering robust, scalable AI products for diverse use cases.

AI innovationMachine LearningMulti-agent orchestrationRAG pipeline optimizationsLlama 3.1 fine-tuningArtificial Intelligence (AI)

Shopagain

Principal Data Scientist

Jan 2022 – Dec 2023 · 1 yr 11 mos · Raleigh, North Carolina, United States

Developed advanced LLM-powered chatbots and recommendation engines, driving 5M+ monthly engagements. Designed multi-agent systems integrating APIs and learning from historical data, streamlining customer interactions and boosting e-commerce performance.

LLM-powered chatbotsRecommendation enginesMulti-agent systemsAPI integrationArtificial Intelligence (AI)Machine Learning

Meltwater

Senior Engineering Manager, Data Science

May 2019 – Dec 2021 · 2 yrs 7 mos · Raleigh, North Carolina, United States · On-site

Built clustering systems processing 10M+ documents daily and anomaly detection systems for social data. Led ML teams to create solutions used by 20,000+ global brands, including Twitter reach prediction and AI pipeline optimization tools.

Clustering systemsAnomaly detectionSocial data processingData ScienceMachine Learning

Sysomos us inc

Engineering Manager, Machine Learning

Jan 2017 – Apr 2019 · 2 yrs 3 mos · Raleigh, North Carolina, United States · On-site

Delivered real-time insights through NLP-powered dashboards and anomaly detection for social analytics. Enhanced image recognition pipelines and developed scalable AI systems, improving speed and accuracy for enterprise clients.

NLP-powered dashboardsImage recognition pipelinesScalable AI systemsArtificial Intelligence (AI)Machine Learning

Gazemetrix (acquired by sysomos)

Lead Computer Vision Engineer

Nov 2012 – Dec 2016 · 4 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Built high-performance image recognition systems processing 3M+ images daily, including logo and virality detection solutions. Migrated to TensorFlow, cutting costs and boosting scalability for deep learning pipelines.

Image recognition systemsTensorFlow migrationDeep learning pipelinesComputer VisionMachine Learning

Prime vision

Machine Learning Research Engineer

Jun 2011 – Nov 2012 · 1 yr 5 mos · Delft, South Holland, Netherlands · On-site

Developed advanced vision modules for postal automation, improving image quality and OCR accuracy. Enhanced processing efficiency for systems handling up to 40,000 parcels daily.

Vision modulesOCR accuracyProcessing efficiencyComputer VisionMachine Learning

Leiden university medical center

Research Assistant

Aug 2010 – Apr 2011 · 8 mos

I am research assistant in the Division of Image Processing (LKEB), Leiden University Medical Center.The work was focused on registration of MRI images of scapula. An average shape model of 15 patient images was also built. A three-step approach for registration was employed: rigid, affine, and b-spline.

Tu delft

2 roles

Teaching Student Assistant

Feb 2010 – Apr 2010 · 2 mos

Student Assistant for the Knowledge & Technology course, taught to undergraduates. Tasks include teaching students SWI-Prolog and the GOAL multi-agent programming language. I also grade their assignments and help them with their projects.