Phygitalytics

AI - Any device that does things that are associated with human intelligence

Natural Intelligence - Imagination, creativity, fantasy, intuition, problem-solving. AI and natural intelligence are two different things, each supplies a lack of other. 

Why Choose Phygitalytics?

• Prior Experience in Translating ambiguous business needs into clear ML use cases

• Prior Experience in Decomposing intricate issues into smaller, quantifiable tasks across data handling, model training, deep learning / ML / GenAI, LLMOps / MLOps, and deployment

• Proven Experience in Developing Proof of Concept (POC) based on core assumptions using the 80-20 rule

• Proven Experience in Mentoring team members, fostering the learning of new technologies and methodologies, and supporting their professional growth

• Patents / Papers and projects aligned to stay updated with recent tools, and trends and gaining practical experience

My Core AI ML GenAI Skillsets

• AI Roadmap - Data Analysis, Availability, Staged use case Adoption, Roadmap for 3PL, Beauty, Fashion, Retail, Media

• Products - Conceptualization, Solution Development, Implementation of Vision-based products in Agriculture, Fashion, FMCG

• Training - SME for AI / ML Training for product managers. Completed 4 batches covering use cases in Retail, Fashion, FinTech, Energy

• Domains - 3PL, Reverse Logistics, Retail - Planogram, Inventory Management, Loss Prevention, E-commerce

• Production Implementation - Recommendations, Vision Solutions, Forecasting, GenAI Adoption

Key Offering's

• Come with Data – Go with an AI product roadmap

• AI product roadmap – Technical design / MVP to scalable components

• Model Evaluation / Assessment and Review

• Build vs Buy Decisions

Focused Offering's

• Career Transition, 1-1 coaching/guidance interview preparation for Product / Program Managers

• AI Strategy road map / Evaluation for business

• MVP / POV / Production Architecture

• Deep Learning / GenAI Workshop / Computer Vision Workshop

• Startup AI Advisory / AI projects / AI monetization strategy

My working perspectives - My work style and Solutioning / Advisory Approach :)

• Persist until you figure things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Have a broad understanding and creative use of Algos, SQL, LLMs, etc. Teach until you get first principles right

• Have the intellectual curiosity to learn about the many new areas you’ll be taken into. Failures today are arsenal for tomorrow.

• Have a willingness to lean into uncertainty. It's okay if a bad day happens.

• Magnitude improvements and novel capabilities. Keep collecting perspectives.

• You will face unique engineering and AI challenges that will make a meaningful impact. To be authentic, you have to have a lot of scars.

• A focus on outcomes, not time-tracking. Yeah, sometimes easy looks complex, complex looks easy.

• The database is always important. Are not afraid of legacy justice systems and would rather make them work than give up.

No great problems are solved by One Person. Happy to partner, Learn - Collaborate - Build - Ship

"Repetition is the mother of learning, the father of action, which makes it the architect of accomplishment." — Zig Ziglar.

“Earn with your mind, not your time.” - Naval 

“Forty hour work weeks are a relic of the Industrial Age. Knowledge workers function like athletes — train and sprint, then rest and reassess.” - Naval 

“I would rather be a failed entrepreneur than someone who never tried. Because even a failed entrepreneur has the skill set to make it on their own.”  - Naval

Reference - Link