Convergytics Solutions Pvt. Ltd.

Convergytics is a bespoke analytics consulting & solutions company with unique capabilities and proprietary in Marketing, CRM, Online and Social Media Analytics in Retail, Technology, CPG, Media and Telecom space. We believe in exceeding customer expectations and delivering value with each & every client interaction & deliverable by a unique focus on superior analytical solutions, consumption of analytics & measurement of delivered recommendations to capture ROI of each analytics deliverable. Read more at www.convergytics.net

Continue to play multiple roles in the venture so far and currently lead the BI & Digital Analytics Business. 
1. Delivery Head: Led several innovative analytics projects that delivered business impact across verticals such as Retail, CPG, Media, Telecom and Technology. 
2. Head of Solutions: Prototyped & built solutions like MMX Simulator, Pricing Optimizer, Customer Segmentation & Insights, Social Crawler & Miner and conceptualized several proprietary solutions 3. Client Engagement Lead: Led client engagement efforts for key accounts
4. BI Sales Lead: Anchor sales in the BI area across regions with the support of a strong Pre-Sales & BD Team
5. Digital Analytics Solutions: Led efforts to identify and deliver solutions in the areas of Digital Analytics including Social Media Analytics

BI Tools; Qlikview, Tableau, TIBCO Spotfire, SSIS, SSAS, 
Analytics Tools: R, Python, SAS, SPSS, Omniture Suite, Google Analytics, Radian6, Excel
Development: RubyOnRails, ASP.Net, J2EE Technologies
Database: SQL Server, Redshift, Oracle, MySQL,

Founder & Executive Director

Blik.ai

Blik.ai is a platform designed by a team of engineers at Convergytics. It is a fully-managed modern BI platform for other SaaS platforms such as #freshdesk, #googleanalytics, #adobeanalytics, #jira, #pipedrive, #hubspot, #googleadwords and many others. We deliver pre-built dashboards that simplify decision-making and help business leaders avoid wasting months with licenses, developers and UI/UX designers getting their dashboards designed and developed.

Chief Technology Officer

Dell

- Regional Analytics Manager for a Top 10 Country
- Advanced Analytics Lead with a mandate to increase use of predictive modeling, text mining & other advanced techniques across business segments
- Actively managedTest Roadmap (60-75 Tests a Year) for key business segments and maintained pipeline of site improvement ideas
- Designed A/B, MVT and Behavioral Targeting Tests across purchase funnel
- Supported business with Site Analytics to identify & resolved key problems faced by the business
- Piloted a text mining algorithm using Python & R

Tools Used: Omniture Sitecatalyst, Python, R, Test&Target and Insight

Analytics Consultant

Mu Sigma

Interact with customers for understanding of requirements and manage the client relationships
Lead teams in translating business requirements to analytics problem
Guide and manage a 30+ member team 
Assist in pre-sales to grow business at existing and new clients
Help in recruitment of analysts and managers at various levels
Keen interest in sustainability or green analytics

Manager

Zeopane Ltd

Zeopane designs and markets zeolite microneedles - a patent pending technology that allows safe, painless, inexpensive, convenient and efficient drug delivery.

•	Identified and completed patent licensing negotiations of a hi-potential drug-delivery technology
•	Conducted thorough analysis of drug-delivery, transdermal market and competing products by using market research databases such as Investext, Datamonitor &amp; Frost &amp; Sullivan
•	Estimated technology development costs, required infrastructure and raw-materials costs
•	Built a comprehensive business and financial model and detailed business plan 
•	Pitched technology to several leading pharmaceutical companies in USA, Australia, Iran India, Hong Kong and UK; negotiated with several companies to establish a partnership
•	Prepared investor pitch and presented to VCs and Angel Investors in HK, UK, India and USA
•	Identified and successfully completed negotiations with pharmaceutical companies and investors

Co-Founder and Strategic Advisor

Infosys Technologies Ltd

•	Prepared detailed project management plan incorporating project goals, target metrics, risk-management plan, and knowledge management plan
•	Prepared and tracked resource plan (using MS Project); prepared milestone and metrics reports and present to Infosys Senior Management and Software Quality Advisors
•	Actively involved in client engagement and business development with one-to-one meetings with client managers; trebled annual revenues in under a year 
•	Recruited and built 15 member team from a base 3 member team; created training plan (technical training and process orientation); performed appraisals, set goals and completed semi-annual reviews
•	Assisted in preparation of pre-sales pitches to explore new client opportunities; prepared estimates for new project / resource requests from clients
•	Improved overall quality of deliverables and the CMM Level of project to Level 5
•	Led the setup of a offshore Level2 support team for Gap Europe’s Oracle Retail (RDW) system

•	Planned and executed GAP’s first agile multi-location offshore development effort
•	Coordinated Yantra OMS – Retek WMS Integration project involving four different vendors
•	Designed Retek (Oracle Retail) warehouse management implementations and enhancements
•	Designed and Built a Labor Management System for GAP that helped capture labor statistics and helped improve labor efficiency and reduction in labor costs by 22%
•	Designed and built the customer invoice generating systems (used to-date) for Gap’s online orders
•	Developed physical inventory solution to reduce and eliminate the need for physical inventory resulting in initial cost savings of $5 million per year
•	Improved holiday season warehouse system performance resulting in a 7% reduction in costs
•	The "Go-To" person for several key applications in GAP's IT Systems

Project Manager

Entrepreneur | Analytics | Web3 | Writing | Product Builder

I am a 
1️⃣ #Web3: 3X entrepreneur currently working on a startup idea in the Web3 space 
2️⃣ #Analytics & Marketing Consultant in digital analytics and BI 
3️⃣ #Author: Writing my first semi-fiction novel - The Chief Embezzlement Officer.
4️⃣ Freelance Writer - Who writes on Web3 and Startups on my blogs and for other publications
5️⃣ Executive Director of Convergytics 

1️⃣ #Web3: Building a web3 product (in stealth mode currently). 

2️⃣ #Analytics: Driving digital transformation, enabling data-driven decision-making, and helping keep up with the latest tools & technologies. I consult with a limited set of clients and focus on delivering value to them. If you would like to have a chat, feel free to contact me. 

3️⃣  #Author: I wrote my first semi-fiction novel, "Chief Embezzlement Officer," inspired by specific life incidents. This is the story of a young Indian Entrepreneur and his journey building a multi-million dollar consulting setup and how he gets backstabbed by his two partners, including "The CEO," and how he fights back. The story includes friendship, deceit, fraud, bribery, corruption, politics, and civil and criminal legal battles. To be published soon. Follow at chiefembezzlementofficer.com.

4️⃣ #Writer: I write articles and blog posts on Web3, Crypto, and Startups and share my views here and on Twitter.

===

My core digital analytics offerings include Cross-Channel Attribution, Advanced Customer Segmentation, Site Analytics & Reporting, Site Optimization, and Testing, Analytics Infrastructure (Setup and Customization), Unstructured Data Mining, and Usability / User Experience Studies.

My core Data/BI offerings include building Executive and Operational Dashboards and Adhoc analysis solutions using tools like Power BI, Tableau, & Qlikview, Data Warehousing, Data Center Setup, OLAP Setup, On-Prem to Cloud Migration, and lots more.

► For all your Analytics, Big Data, BI, and Digital Transformation needs, don't hesitate to contact me for an initial, no-obligation consultation. You can reach me at E: arhebbar@gmail.com or by Phone/Whatsapp: +91.9945.254742

Randhir Hebbar

Co-founder and CEO at Bito. 

We build codebase intelligence for AI coding and reviews, so AI tools can reason about real systems instead of guessing. 

Before Bito, I built and scaled companies across multiple markets, including PubMatic (NASDAQ: PUBM). 

Right now, I spend most of my time thinking about AI, software systems, and why understanding codebases matters more than writing code faster.

Amar Goel

Super excited to share our first independent evaluation of Bito’s AI Architect on SWE-Bench Pro.

Working with The Context Lab, we evaluated AI Architect using the same Claude Sonnet 4.5 class agent, the same tools, and the same execution limits. The only difference was system context. 

With AI Architect enabled, the results were clear: 

• Task success rate increased by 39%
• Tasks completed 19.6% faster 
• Tool calls dropped by 25.4% 

All without any additional token or compute overhead.  

We intentionally focused this evaluation on large, real-world codebases with millions of lines of code and hundreds of files, because that’s where today’s coding agents struggle the most without system-level understanding. 

This reinforces our core belief: better outcomes don’t come from bigger models alone, but from giving AI real understanding of the system it’s working in. 

The full SWE-Bench Pro evaluation report is available below. 

Link in the comments.

Bito | Top score on SWE-Bench Pro - Deep codebase intelligence for AI coding and reviews

In 2025, AI-assisted pull requests showed around 1.7× more issues than human-written PRs, even though tests passed and reviews looked clean. This will only go up if we don’t understand the root: 

The reason is fairly straightforward once you look closely.  

AI code gen works with partial views of the codebase. 

It sees files and snippets, but it does not see how state flows across services, where invariants were added after past incidents, or which assumptions are baked into downstream consumers.  

When those relationships are missing, the generated code follows patterns that look reasonable locally and break behavior globally. 

The study pointed out that most of the issues appeared in places reviewers and tests are weakest. 

Conditional paths, retries, rollbacks, and failure handling are rarely exercised fully in unit tests, and PR reviews are scoped to diffs.  

If the system context is incomplete, both humans and tools end up approving code that only works under ideal conditions. 

This is why scaling AI coding tools inside large systems has been harder than demos suggest. Throughput goes up, but system risk quietly accumulates. 

This is the gap Bito’s AI Architect is designed to address.

If you want to learn more, I'd be happy to chat. DMs always open.

AI coding tools feel super cool on side projects, then break as soon as they're inside large, existing, enterprise codebases.  

Custom frameworks, internal conventions, fragmented repos, and years of accumulated constraints change the whole narrative. 

A LinkedIn post by Gergely Orosz from earlier last year captured it well, including a case where a top company rolled out an AI coding tool to thousands of developers and roughly half stopped using it a few months later. 

~50% ! 

The fact that it still feels true today matters, because it points to a structural gap (not a temporary tooling gap).

AI code gen breaks down when the tool cannot model the system, including dependencies, call paths, and the implicit contracts that make production software behave.  

That is where codebase intelligence becomes the difference between a demo and something you can trust in an enterprise. 

Exactly what Bito is building: The AI Architect.

Veracode’s 2025 GenAI code security report states that about 45% of AI-generated code still contains vulnerabilities.

This is one big reason AI-generated code keeps adding security debt. And that number has barely changed even as models have improved.

The underlying reason is straightforward. These models learn from public code, and public code includes a lot of insecure patterns.

When AI code gen is asked to implement common tasks, it often reproduces what it has seen most:

Raw SQL queries instead of parameterized ones.
Hardcoded secrets. Missing validation. And more..

The code compiles, looks reasonable in review, and passes basic tests, while carrying flaws that only surface later.

Security rules live across schemas, data flows, and service boundaries. When AI works without seeing those relationships, it fills gaps by pattern matching. That behavior scales insecure code faster than teams can realistically review it.

We built Bito’s AI Architect. It addresses this by building system intelligence through a knowledge graph of the full codebase, so AI code gen reflects how security actually works across the system.

🎤 This is what a customer has to say about the AI Architect:

"We’ve spent too much time fixing agent-generated code. Now most changes work in one shot because Bito’s AI Architect actually understands our services and APIs. It’s been a huge boost to Cursor."

AI Architect is available via MCP (on-prem coming soon).
We are rolling out demos on a huge scale.
DMs open if you want one.

taplio

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