Annamalai Kathir (AK)

CEO & Co-Founder

tryCoM.ai

2024

Tamil Nadu, India

• As a first time founder, I never marketed my product. It had a huge impact on how fast we grew. We initially struggled to get customers and it was a major pain point because we weren't able to do marketing from day 1
• That's exactly what tryCoM.ai does. It helps you start marketing your story, problem you are solving, and the product from day 1 by automating the whole process using AI
• With the basic info about you, your business, and domain - we create very specific content for each of your platforms every month. This helps you build your customers in-bound without any paid marketing from day 1
• In less than 6 months, we on-boarded 11 paying customers comprising both businesses and digital marketing agencies

ChapterMe

2022

Illinois, USA

• Quit my full-time job to work on ChapterMe to solve my own problem of knowing the structure to a video/podcast content before consuming it and watching content relevant to me like in a book
• ChapterMe is the #1 AI tool that auto-creates timestamped chapters for your videos and podcasts
• Built the product in 4 weeks and got 2 paid enterprise subscribers in a week
• We went on to create a interactive video player for enterprises with features such as clickable buttons, player branding, auto-transcription, and analytics on the viewership
• By 2024, we had over 3000 customers from 20+ countries

Product Manager

BarnTools

2020 - 2021

Iowa, USA

• Headed 4 cross-functional teams in building a cutting-edge cloud based AI-powered smart alarm system for livestock industry
• Implemented Agile methodology to streamline design and development teams and execute on the go-to-market plans
• Evangelized product vision to key stakeholders using customer research, user feedback, North Star metric, and data analysis
• Improved product performance by leveraging beta testing, analytics, and measurement methods
• Partnered with user experience, interface design, and engineering teams on concepts and product iterations

Senior Analyst, Data Science

Optum

2018 - 2020

Massachusetts, USA

• Improved the products and services for our member hospitals by using big-data analytical tools to store, analyze, and solve real-world problems using data to empower 121 million customers
• Automated effort-intensive data cleaning and transformation problem using Python and Scala that reduced the processing time by 50%
• Built a numeric distribution model in R to compare quality across builds for use by Data Validation Engine (DVE) to flag data anomalies across the pipeline
• Developed a “Data Health Check Report” dashboard using shell scripting, SQL and Python that automatically tracked daily and monthly data flows across the pipeline for discrepancies and reported findings to the leadership and development team for further analysis. Yielded $300K in estimated savings YoY, decreased manual effort by 95%, and reduced project delivery latency by a week
• Led a team of 3 in converting 100+ legacy SQL procedures and ETL models into Hadoop using Spark SQL and Scala resulting in 75% improved efficiency
• Acted as Chief Operating Officer (COO) at “Lever Lab” a 10-week social innovation accelerator program. Involved in all phases of the program from - ideation, problem definition, storyboarding, prototyping and pitching. Oversaw the operations of the day-to-day activities such as recruiting, coordinating, scheduling and communicating, and ran weekly touch base with teams, mentors, and coaches

Graduate Research Assistant

Carnegie Mellon University

2017

Pennsylvania, USA

• Worked in the Center for Health Analytics at Heinz College, CMU, under the guidance of Dr. Rema Padman and Dr. Yiye Zhang
• Improved the existing clinical pathway platform by adding interactivity and unifying code language

Data Scientist

Cambia Health Solutions

2017

Oregon, USA

• Created a dashboard to query the claims of members to find the most probable co-morbidities that might occur in the present, infer the past conditions or predict the future health journey
• Built a knowledge base using Probabilistic Graphical Model (PGM) in Python to help doctors prescribe drugs based on patient’s claim data, achieving a prediction accuracy of 98%
• Enhanced the risk profiling capability of members by inferring the past conditions of a patient
• Spearheaded an idea called myHOPES, a community development application, that was voted amongst the top 5 innovative ideas at Cambia

Business Intelligence Analyst

Chella Software

2016

Tamil Nadu, India

• Created an executive dashboard using Excel that provided the VP of Engineering and Delivery with a high-level overview of more than 10 projects with Key Performance Indicators (KPIs) such as utilization metrices, average task completion rate, employee capacity, cost, delivery progress, and RAG status
• Collaborated with the project management team in building a dashboard by integrating an existing timesheet database with Tableau, optimizing time spent on projects that increased the employee capacity by 20%
• Studied business requirements of two clients and delivered functional specification documents to the software development team

Engineering Consultant

Tata Engineering and Industrial Services

2015

Tamil Nadu, India

• Conducted tear-down analysis for a Fortune 500 manufacturer of elevators to enable cost and quality benchmarking with competitors in the Indian market
• Interviewed customer’s technical team to design logical and structured analysis plans
• Presented a final proposal with 12% cost reduction to the customer

Carnegie Mellon University

Master of Science in Information Systems

Pennsylvania, USA

Thiagarajar College of Engineering

Bachelor of Engineering in Mechanical Engineering

Tamil Nadu, India