Netra Labs

As Co-Founder and Chief Revenue Officer at Netra Labs, I am at the forefront of driving innovation in the AI industry. Our mission at Netra Labs is to make AI technology accessible and beneficial for businesses of all sizes, and I am deeply committed to this cause.

My role involves strategic planning and execution, revenue growth, sales strategy, and team leadership. I work closely with our talented team to develop and refine our product offerings, with a particular focus on our digital copilot, Kait. Kait is designed to evolve with businesses, learning from every interaction and adapting to every challenge. She represents our commitment to harnessing the power of AI for any business.

I bring to this role a wealth of experience in emerging technology and digital process automation. I am passionate about driving innovation-led business transformation solutions and am excited to bring this passion to my work at Netra Labs.

I believe that AI has the potential to revolutionize the way we do business, and I am excited to be part of this journey. I look forward to connecting with like-minded professionals who share our vision for the future of AI.

Co-Founder & Chief Revenue Officer

Accelirate Inc.

The "automation world" is always changing, new technologies and methodologies coming into the space on a seemingly daily basis. 


My role as Senior Director of Emerging Technology is to first understand what problems these technologies are trying to solve, what are their unique capabilities and differentiators in the market and how can we leverage that into more value for both our clientele and partner network. 

I work with Executive Leadership from both Product & Services companies to create packaged solutions that are implemented via our Delivery team to automate "business outcomes" and most importantly, solve business problems. 

Whether it's Intelligent Document Processing, iPaas, Conversational AI, Process Mining, IRPA or any number of the new and upcoming "categories of automation", we focus solely on solving problems and we use Automation (and her underlying technologies) to do so.

Senior Director - Emerging Technology

Established the Process Discovery practice that is now comprised of 30+ Business Analysts & Process Architects who lead or assist on projects across numerous industries (BFSI, Healthcare, Oil & Energy, Retail etc..) and various Modernization technologies (iRPA, iPaas, IDP, Process Intelligence etc…). We provide our clients with detailed Modernization roadmaps & deliverables that establish a future state and provide clarity on the value to be returned to the business. 

-	Established numerous service offerings across the Modernization spectrum (Process Mining, Task Mining, iRPA etc..) that have resulted in 7 figure revenue streams for the company.

-	Led multiple enterprise modernization engagements involving C-Suite & Executive Management across numerous industries (Banking, Healthcare, Tech and Retail) that have provided millions in savings for our clients and major revenue streams for Accelirate.

-	Created a 3-phase interview model that rated candidates based on their core skills, experience, and critical thinking abilities to ensure optimal candidates we’re being filtered through the interview process.

-	Created an Employee Evaluation model that assessed our Analysts based on 10 Knowledge Areas (Process Mapping, Stakeholder Management etc..) across 4 expertise levels (Introductory, Competency etc..) to ensure each Analyst was making continuous progress during evaluations.

-	Created our Business Analysis training program that enabled all new hires to be ‘client ready’ within a month, providing them with the foundation to be a successful BA with over 50+ trained internally and many more from our clients using our LMS.

-	Created our Process Discovery methodology that enabled all Process Architects to capture the work being done in an Organization/Key Focus Area and assess the work for Modernization opportunities that align with business objectives and corporate strategy, all with minimal business disruption and few meetings.

Director - Process Discovery

Oversaw the design and development of Automation Navigator, a system of record for any Automation program that assists programs in identifying automation opportunities, provide savings info and feasibility/ease of implementation estimates along with streamlining the capturing of the ‘Current State’ of a process, all in one tool. Design and development began Q3 of 2018 and was completed by Q2 2019 before being sold in 2020 to a RPA vendor.

Product Manager - Automation Navigator

As Employee #1 of Accelirate, I helped establish our Delivery methodology and sign our “lighthouse account” resulting in millions of revenue and helped lead the COE to 100+ Automations & $10MM+ Annualized Savings in under 3 years whilst allocated to the project.

Senior Automation Engineer

Alsbridge

- Part of the original team of the Robotic Process Automation Service Line that grew to over 100+ before being acquired by ISG.
- Delivered process assessment and strategy engagements to determine the viability of RPA as a solution given the client processes and environments and quantify the impact of moving forward with automations in the workplace.
- Lead Developer for multiple Proof of Concept (POC) engagements that required a process assessment and automation development to be completed in 1-2 days and demonstrate the ability of RPA software to successfully interact with specific client applications.
- Perform in-depth analysis of client functions/business units to determine automation scope in a phased approach. Once scoped, performed in-depth analysis with the Subject Matter Expert in order to create the Process Definition Document (PDD), Solution Design Document (SDD) along with supplementary documentation (Discovery Notes, Keystroke Document, Runbook, Training Plans etc…)

Career Project Highlights:
	- Partnered with Senior Executive Team as Lead Developer for RCM provider (Healthcare) on their Payment Posting Function which led to > $1MM in projected cost savings by end of Year 1 (post-implementation) by utilizing Automation Anywhere along with customized OCR solutions.
	- Partnered with established C.O.E. as Lead Developer for Cost-Containment Provider (Healthcare) on their Direct Billing Function which led to >$250K in projected cost savings by end of Year 1 (post-implementation).
        - Spearheaded Pilot with Senior Leadership of Shared Services Group as Lead Developer for Fortune 500 Financial Services Corporation which led to >$850K in projected cost savings by end of Year 1 (post-implementation).

Consultant - Robotic Process Automation

Sutherland Global Services

Sutherland Global Services is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As one of the world’s largest independent BPO companies employing over 30,000+ professionals across 40+ operation centers spanning across 5 continents. 

Sutherland's mission is to help our clients maximize their customer lifetime value and increase their competitive advantage by driving productivity/efficiency while delivering measurable results. Our focus not just being cost reduction but driving business performance improvements across multiple processes. 

Responsibilities & Achievements: 

- Trained in Robotic Process Automation using UiPath Automation software to help streamline business processes tailored to client's business needs using a LEAN Six Sigma methodology to ensure efficiency and effectiveness.

- Performed successful Proof of Concept (POC) for management consulting firm to showcase the capabilities of Robotic Process Automation as a viable solution for high-volume, highly-transactional process functions. 

- Collaborated with team to help secure Fortune 500 client by proposing plan to help streamline back-office operations by implementing a multi-faceted solution. Solution included business process redesign that included demonstration of the applicability of Robotic Process Automation software to both current business process ('As Is') and proposed solution ('To Be'). 

- Consistently collaborate with Innovation & Transformation team on solution implementation for various projects by identifying inefficient processes and creating RPA solutions based upon the BRD submitted by project manager.

Subject Matter Expert - Robotic Process Automation (Innovation & Transformation)

I am passionate about leveraging the power of AI to create value and impact for businesses of all sizes. As the Co-Founder and Chief Revenue Officer of Netra Labs, I lead the strategic planning and execution, revenue growth, sales strategy, and team leadership of our innovative AI company. Our mission is to make AI technology accessible and beneficial for businesses, and I am deeply committed to this cause.

I have more than 9 years of experience in driving digital process automation projects, building and managing high-performing teams, and supporting technology adoption across industries. I have delivered extraordinary results for internationally recognized BPO & Consulting firms, and for the last 4 years, I worked with Accelirate as their Director of Process Discovery, where I established and grew the practice to 30+ professionals and generated 7 figure revenue streams. I combine my expertise in cognitive automation, business optimization, robotic process automation, and agile methodologies to enable operational excellence and digital transformation for our clients and partners. I am always open to creative solutions and new challenges, and I look forward to connecting with you.

If you would like to connect for business purposes or looking to expand your network, I welcome and look forward to connecting with you.

Robert James Booth

rj@netralabs.ai

Key Specialties: 
Digital Process Automation, Business Optimization, Robotic Process Automation, Executive Leadership, Change Management, Agile Methodologies, Enterprise Architecture, Continuous Improvement, Digital Transformation

Robert James Booth

Abide AI

Building a second brain for the authors and creators out there.

Founder

O'Reilly

Authoring book on LLMOps: Managing Large Language Models in Production

1. Report: what is LLMOps ✅
2. Book - LLMOps: Managing LLMs in Production ◻️ (currently writing)

Author

Laconia

Venture Capital Fellow 

 Consultant

Machine Learning Engineer

ASSENT

Machine Learning Scientist

Insight Data Science

Building Data Labelling Pipeline to annotate the data automatically

Data Science Fellow

UCLA Mathematics

Supervisor: Dr. Judea Pearl

Core Expertise: AutoML, Reinforcement Learning, Emotion Recognition in Speech as well as Video (Natural Language Processing, Computer Vision)

Research Scholar - Machine Learning

Amishi Life 

Founding Engineer & Head of Digital - E-commerce

Hidden Creative

Product Development Manager - Augmented Reality Applications

Entrepreneur First

Program Management - Deep Tech

I have over eight years of experience in applying machine learning to various domains, such as e-commerce, insurance, and media & entertainment.

I am also the author of an upcoming O'Reilly book on LLMOps: Managing Large Language Models in Production, where I share my insights and best practices on how to handle the challenges and opportunities of deploying state-of-the-art large language models. 

My mission is to help machine learning practitioners and engineers build more efficient, reliable, and scalable Ops systems.

Abi Aryan ☯︎𓁿

Its end of 2025 and I still keep getting asked the same question: 𝘈𝘣𝘪, 𝘸𝘩𝘢𝘵'𝘴 𝘵𝘩𝘦 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘔𝘓𝘖𝘱𝘴 𝘢𝘯𝘥 𝘓𝘓𝘔𝘖𝘱𝘴? 

I answered in my book, 𝐋𝐋𝐌𝐎𝐩𝐬: 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧(O'Reilly) that came out earlier this year (𝘺𝘰𝘶 𝘤𝘢𝘯 𝘨𝘦𝘵 𝘪𝘵 𝘧𝘳𝘰𝘮 𝘈𝘮𝘢𝘻𝘰𝘯, 𝘴𝘦𝘢𝘳𝘤𝘩 "𝘓𝘓𝘔𝘖𝘱𝘴 𝘣𝘰𝘰𝘬") but hey, we live in the age of viral cat-videos, 𝐬𝐨 𝐈 𝐰𝐨𝐧'𝐭 𝐞𝐱𝐩𝐞𝐜𝐭 𝐲𝐨𝐮 𝐰𝐨𝐮𝐥𝐝 𝐡𝐚𝐯𝐞 𝐫𝐞𝐚𝐝 𝐦𝐲 𝐛𝐨𝐨𝐤. So, let me explain again to bring the point home, once and for all.

𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐌𝐋𝐎𝐩𝐬 (𝐜𝐢𝐫𝐜𝐚 𝟐𝟎𝟏𝟖–𝟐𝟎𝟐𝟑):⁣⁣⁣⁣
⁣⁣⁣ 🌚 Your model size was ~300 MB – 2 GB
⁣⁣⁣ 🌚 Inference cost was about $0.0001 – $0.002 per prediction
⁣⁣⁣ 🌚 50–200 ms was acceptable latency
⁣⁣⁣ 🌚 The data was mostly tabular + a bit of images, nicely structured
And failure meant wrong number which was sad but rarely catastrophic

𝐋𝐋𝐌𝐎𝐩𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓:⁣⁣⁣⁣⁣⁣
😨 Your model size is 8B → 405B params (70–800 GB VRAM when quantised)
😨 Your Inference cost is $0.15 – $12 per 1M tokens (yes, a single long user session can cost you $3–$8 on Grok-4/Claude-3.5/GPT-4o)
😨 Users bail if latency >1.8 s end-to-end 
😨 And you got 100 TB+ of unstructured data, constantly drifting text/code/logs, 90 % of which is garbage you still have to chunk and embed

And failure means that model starts role-playing as a therapist and leaks PII. Lawyers soon on your speed-dial before your kids.

That’s why the LLMOps engineer you hire tomorrow can’t be the same MLOps person you had yesterday. 

𝐈𝐟 𝐲𝐨𝐮 𝐡𝐚𝐝 6 𝐰𝐞𝐞𝐤𝐬 𝐭𝐨 𝐮𝐩𝐬𝐤𝐢𝐥𝐥 𝐭𝐡𝐞𝐦, 𝐡𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐈 𝐰𝐨𝐮𝐥𝐝 𝐝𝐨:

✅ 2 weeks paired with an AI engineer just slamming prompts into Llama-3.1-405B, Mixtral-141B, Claude-3.5, Grok-4, whatever. 

Raw, no LangChain guardrails. Let them feel the $400 bill after one afternoon of “let’s try 128k context”.

✅ 2 weeks glued to a data engineer building the actual RAG pipeline, watching 500M chunks get embedded on 4×H100s.

Learning why your pinecone bill went from $400 to $18k in one month, and why latency jumps from 180 ms to 4.7 s the moment you turn on MMR reranking.

Tell them: Here’s $25k credit on Fireworks/Together/Groq, make it last the quarter while keeping p95 latency <1.2 s 

✅ Final 2 weeks, mandate to benchmark at least 4 inference providers + self-hosted vLLM + TensorRT-LLM on the same prompt set and present the cost/latency/quality Pareto frontier to the CTO. 

They need to internalize the tradeoffs. Let them ship (and break) logging + guardrails in prod. One forgotten OpenAI “you are a helpful assistant” default and you’re suddenly paying $11k/day in tokens. 

𝐂𝐨𝐧𝐠𝐫𝐚𝐭𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬, 𝐲𝐨𝐮 𝐠𝐨𝐭 𝐚𝐧 𝐋𝐋𝐌𝐎𝐩𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦. And the same, applies for your AI/ML Engineers or Member of Technical Staff to upskill them.

Abi Aryan ☯︎

Founder: Abide AI | Author: LLMOps & GPU Engineering | Making AI Systems go brrrr...

It was a pleasure chatting with Ben Lorica 罗瑞卡 for an episode of the O'Reilly Radar podcast on LLMOps, thank you Nicole Butterfield for inviting me, where I talked about everything LLMOps - Evals, Data Engg, Agent Frameworks, Distributed Systems. Give it a listen, I'm sure y'all would enjoy:

https://lnkd.in/gFwenq_k

Also, I will be speaking about agentic systems today at the Nexus conference by Packt, if you're attending :)

taplio

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Robert James Booth

Abi Aryan ☯︎𓁿

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taplio

The Battle

Robert James Booth

Abi Aryan ☯︎𓁿

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Abi Aryan ☯︎𓁿's LinkedIn Performance

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