Vijay Raajaa

CTO

Bengaluru, Karnataka, India14 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led engineering for 20+ platform services.
  • Filed four patents in LLMs and churn analysis.
  • Managed high-performance teams across geographies.
Stackforce AI infers this person is a SaaS expert with strong capabilities in AI and ML engineering.

Contact

Skills

Core Skills

Artificial Intelligence (ai)LeadershipMachine LearningInfrastructure Development

Other Skills

AI OpsAWS LambdaAlgorithmsAmazon Web Services (AWS)AnalyticsBig DataC++Continuous Integration and Continuous Delivery (CI/CD)Data AnalysisData MiningData ScienceDeep LearningDevOpsEnterprise ArchitectureFacebook API

About

An experienced and a passionate engineering leader with a strong research interest and entrepreneurial spirit, bringing deep expertise in building distributed systems, platform services, and ML engineering. I have extensive experience creating SaaS products and platforms that power enterprise customers at scale, blending machine learning with engineering excellence. Leading high-performance teams across geographies, I've tackled complex engineering challenges in telecom, CRM, crypto, ML platform and analytics space. My research has led to filing four patents in LLMs, graph applications, and churn analysis. I’m committed to giving back to the community through tech talks, open-source contributions, and mentoring.

Experience

14 yrs
Total Experience
1 yr 9 mos
Average Tenure
5 yrs 8 mos
Current Experience

Freshworks

3 roles

Director of Machine Learning

Promoted

Mar 2024Present · 2 yrs 3 mos

  • Head engineering for ~20+ platform services that ranges usecases across products and machine learning features. Directly responsible for setting the vision, development, delivery, and adoption of these services at scale for Freshworks
  • Generative AI Platform Service: Head the platform service that powers all Gen AI usecases in Freshworks - 50+ co-pilot, self-service and insights use cases across Freshworks products, driving innovation and the application of advanced AI technologies
  • AI & ML Ops Development: Spearhead the creation of the AI Agentic platform and ML Ops infrastructure, which will power the next generation of intelligent AI applications across Freshworks products.
  • Lead Engineering & Delivery: Oversee the development and delivery of platform shared services for Freshworks' CX products, including Freshdesk, Freshbots, Freshchat, and Freshcaller. This includes solving complex challenges related to routing, handling SLAs, managing rule engines, and feature management services etc
  • Team Leadership: Manage a team of ~40 engineers, including direct reportees of fairly senior members in the team which includes 7 architects and 3 engineering managers, ensuring effective collaboration and high performance.
  • Cross-Functional Collaboration: Work across cross-functional teams, including technical and engineering leaders from Cloud Infrastructure, ITSM, CRM, Analytics, and NeoPlatform. Collaborate closely with product and GTM leaders to ensure the development of next-generation AI solutions and products that create significant impact at Freshworks.
Artificial Intelligence (AI)Strategic PlanningLeadershipStrategic Visionary

Senior Engineering Manager - Machine Learning

Promoted

Oct 2021Mar 2024 · 2 yrs 5 mos

  • Freshworks Gen AI platform Engineering: Currently powers all GPT use-case across all products in Freshworks
  • Managing ~30 member team of fairly senior folks ( Engineering Managers, Architects - BE/FE/QA/ML and TLs ) that spans across 5+ squads
  • Working with 5 PMs across different AI/ML threads
  • Managing AI/ML projects that integrate with the CX products: Freshdesk, Freshchat and FreshBots
  • Co-own the AI/ML charter for CX
  • Co-own the CX platforms charter

Engineering Manager

Oct 2020Oct 2021 · 1 yr

  • Currently managing a 10 member team which includes - Data Scientist, Backend / Machine Learning Engineer, Frontend and QA engineer
  • Own the AI/ML roadmap for Freddy CX
  • ML projects : Cognitive search, BOT Intent, Freshdesk Insights, Chat assist, Email Bot, Ticket Triage etc

Domino data lab

Platform Engineering

Sep 2018Oct 2020 · 2 yrs 1 mo · Greater Bengaluru Area

  • Domino Data Lab is one of the world leaders in ML/AI PAAS space. They play a vital role in being a system of records for Enterprise Data Science teams across the globe.
  • Founding member of Domino Data Lab, India office
  • First platform engineer from India office - Bridge with SFO core team and be a part in building the platform engineering muscle in India
  • Part of the core-troop that re-architected Domino on Kubernetes
  • Redhat's Keycloak integration with Domino for Authentication and Authorization
  • Build system to analyze and curtail AWS cost
  • Other key contributions: Domino Model Monitoring and some of the internal domino frameworks

Intuition.ai

Engineering, Founding Member

Jun 2018Aug 2018 · 2 mos · Bengaluru, Karnataka, India

  • Interfaced with the CTO, CIO and Engineers in the US for a crypto based product company to engineer the standing up of large number of crypto nodes in production environment in the cloud using Container based solution.
  • Architected and completely automated the standing up of VPC using Terraform.
  • Handled crypto deployments in production environment using terraform ensuring HA, Fault tolerance, Idempotency, Load Balancing and scalability.
  • Also involved in managing the deployment lifecycle of a ML based product for another US based client.
  • Got Acqui-hired by Domino Data Lab

Khosla labs

2 roles

Senior Data Scientist/Director of Engineering(clutch.ai)

Jul 2017Jun 2018 · 11 mos · Bengaluru Area, India

  • Architected and built a zero code ML workbench with both cloud as well as on-prem solution based on SMACK stack. Built-in capability to scale and also completely async based on state of the art stack.
  • Led team of engineers, interns and UI Devs to build the product out.
  • Architected and built an Open data Search platform which encompasses 1+Billion records. Also exposed them as API using serverless architecture.
  • Mentored engineers to solve business problems by applying ML for Novopay and e-governments.
  • Built an in-house cluster using mesos stack.
  • Involved in interfacing with clients for solution architecting their business needs using ML and clutch workbench product.

Data Scientist

Jul 2015Jun 2017 · 1 yr 11 mos · Bengaluru Area, India

  • Built ML model to predict lead conversation and Engineered the deployment to production.
  • Architected and built microservices for Loan management - Currently In production with one of the top bank in India for their loan programme.
  • Built ML based credit rating pipeline and managed REST API based prediction for production grade deployment.

Mu sigma, innovation & development research labs

2 roles

Senior Research Analyst / Semantic Search Team Lead

Jan 2015Jul 2015 · 6 mos · Bengaluru, Karnataka, India

  • Researched extensively about Semantic Web / ontologies to build a Speech to Text based Natural Language Search application for Analytic data mining.
  • Contributed the Analytic querying capability to FREyA Application - An Natural Language interface to Ontology.
  • Led the development of building a plugin to automate the process of building an ontology knowledge base.
  • Implemented Intelligent agents for Collecting , Monitoring and Evaluating Health Metrics from IoT devices.
  • Implemented Real time and Batch aggregator Agents for crunching huge volumes of log data stored in Cassandra.

Research Analyst / Big data Team Lead

Dec 2013Jan 2015 · 1 yr 1 mo · Bengaluru, Karnataka, India

  • Built a near real time searching and indexing framework for Twitter Stream data. It is a part of the Text Analytics suite.
  • Led the design and development of Collaborative based Recommender Algorithm using Hadoop Map Reduce implementation and delivered it as an Enterprise ready R package. This is a part of the High Performance Computing Package suite.
  • Led the development and Release of Random Forest package using Map Reduce Implementation.
  • Contributed to Open Source Community - RImpala and RPhoenix packages

Packt publishing

Technical Reviewer

Jun 2014Nov 2014 · 5 mos · Greater Bengaluru Area

  • As a Tech reviewer, responsible for reviewing the content and code provided by the author and make sure it is at maximum accuracy and reader friendly. Also suggest content which the author has missed to include / the ones that is lacking depth.
  • Reviewed : Learning Big Data with Amazon Elastic MapReduce ; (https://www.packtpub.com/virtualization-and-cloud/learning-big-data-amazon-elastic-mapreduce)

Nokia solutions and networks, bss division ( now a part of redknee inc )

RD Engineer

Jul 2012Dec 2013 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • Worked in Analytics unit under Business Support System division
  • 1) Built a one click automated installer module for the analytics product which includes installation of OS, OEMs and VAS. Primarily used shell and perl scripting.
  • 2) Worked on building an end to end In memory Analytics product for the telecom data source using Hadoop framework and Cloudera Impala. Automated the ETL process and built the end visualization using Tableau.
  • 3) Built the core sentiment engine module for categorizing social network comments into different moods. The engine was exposed as a REST web service which was capable of processing both online and batch requests. Also built an add-on module to improvise the prediction accuracy of the engine through human intervention. Primarily used Python.
  • 4) Built a notification engine which sends notification messages to the corresponding Facebook application. The Incoming requests was queued using ActiveMQ. The system was built using JBoss Fuse.

Ericsson

Research Intern

Nov 2011Apr 2012 · 5 mos · Greater Chennai Area

  • Worked in Churn Identification and Retention schemes in Telco space using a graph based predictive analytics model.
  • Patented Invention: Devised a linear model with graph parameters for predicting churners over a period of time.
  • Technology: Hadoop , Java , Graph Based NoSql DB , Machine Learning and Data Mining techniques using R and Weka.
  • Achievements: Filed couple of patents and published the same in 8th International Conference, ADMA 2012.

Education

Thiagarajar College of Engineering

Bachelor of Engineering (B.E.) — Computer Science and Engineering

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