Venkatraman Kannan profile photo 1 on Tal

Venkatraman Kannan

Software Engineer @Lassie | Passionate about all things backend, data and AI

Bengaluru

4+ years of work experience

Lassie
Dec 202510 mosPresent

San Francisco Bay Area

• Built and scaled reliable batch CDC pipelines, syncing data from remote on-prem windows servers to cloud for multiple customers. • Built a custom async-worker using redis keyspace notifications • Built reporting dashboards and tracking mechanisms for enhanced payer specific and practice specific tracking • Built the AI poster for dental practices for automated payment posting on practice PMS
AppsForBharat
Mar 20259 mosNov 2025

Bengaluru, Karnataka, India

• Enhanced CI/CD pipelines and infrastructure by identifying and resizing overprovisioned ECS instances, saving $1600/month without impacting performance. • Audited and optimized AWS Kinesis usage, reducing Enhanced Fan-Out costs by $1300/month through decommissioning unused streams. • Designed and implemented a batch data pipeline on AWS EC2 to aggregate transactional and analytical user properties via scheduled jobs, enabling personalized campaigns on CRM platforms like MoEngage. • Built and deployed a server for custom workflows / data pipe from sales platforms to payment gateways and vice versa. (Stack: Golang, EC2, Lambda)
AppsForBharat
May 20231 yr 10 mosFeb 2025

Bengaluru, Karnataka, India

• Built and maintained microservices using GoLang to power core data platform features of data capture and aggregation, streaming data ingestion, ensuring low-latency and reliable processing across distributed systems. • Designed and maintained backend services for routing events to multiple systems, enabling real-time processing and analytics. • Led development of a real-time event verification system to validate event data, identify discrepancies, and automate ticket generation, enhancing system reliability. • Integrated event flows with third-party platforms like Appsflyer, Mixpanel, MoEngage, and BigQuery for analytics, marketing, and CRM automation • Developed an end-to-end customer feedback system via WhatsApp, increasing user feedback rates from 38% to 79% and enhancing support engagement • Designed and developed pipelines to effectively process website events in real-time, enabling downstream data analytics and product workflows. • Enhanced guest user tracking mechanisms on the website, improving unknown user identification and boosting analytics funnel completion from 10% to 77% • Extensively used AWS (Kinesis, Lambda, Cloudwatch), CI/CD (Bitbucket pipelines), and databases like MongoDB, Redis, Postgres
AppsForBharat
Jan 20234 mosApr 2023

. Developed a Swift-based reminder service in iOS. . Worked in GoLang and MongoDB to implement event aggregation and data storage functionalities.
ICU Medical
May 20218 mosDec 2021

Chennai, Tamil Nadu, India

. Actively contributed to the embedded team by writing PyTest test scripts for the NextGen infusion pump. . Played a key role in enhancing the code coverage significantly, elevating it from 51% to an impressive 78%.

Venkatraman’s AI Stack

claude code
claude code
claude
claude
codex
codex
cursor
cursor
notion
notion
openai
openai

Education

PSG College of Technology

MSc, Software Systems

PSG College of Technology

20185 yrs2023

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Headline

Software Engineer @Lassie | Passionate about all things backend, data and AI

About

As a curious and self-driven engineer, I specialize in backend development and data engineering that includes designing robust APIs, building data pipelines (batch and streaming), and developing CDC flows from databases to data warehouses, lakes, and aggregation engines. I work primarily with Go and Python, leveraging AWS and GCP for scalable, cost-optimized, high-performance infrastructure. Occasionally, I build front-end web experiences using Next.js, and I’m exploring the use of AI/ML to build more intelligent data platforms and extract deeper value from data. Outside professional work, I share my insights on backend engineering, data engineering, fitness, lifestyle, and more on Medium: https://medium.com/@venkatramankannantech I’m passionate about agriculture and its significance as the backbone of my nation inspires me to explore eco-friendly, engineering-driven solutions and support the next generation of agriculturists and farmers. I’m also keen to learn about investing and stay up to date to the dynamic startup ecosystem. I thrive in collaborative environments that nurtures creativity, quality, and shared growth.

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

notion

openai

Work experience

Software Engineer at Lassie, Dec 2025 - Present · 10 mos, San Francisco Bay Area, • Built and scaled reliable batch CDC pipelines, syncing data from remote on-prem windows servers to cloud for multiple customers. • Built a custom async-worker using redis keyspace notifications • Built reporting dashboards and tracking mechanisms for enhanced payer specific and practice specific tracking • Built the AI poster for dental practices for automated payment posting on practice PMS

SDE - II (Backend, Data, Platform) at AppsForBharat, Mar 2025 - Nov 2025 · 9 mos, Bengaluru, Karnataka, India, • Enhanced CI/CD pipelines and infrastructure by identifying and resizing overprovisioned ECS instances, saving $1600/month without impacting performance. • Audited and optimized AWS Kinesis usage, reducing Enhanced Fan-Out costs by $1300/month through decommissioning unused streams. • Designed and implemented a batch data pipeline on AWS EC2 to aggregate transactional and analytical user properties via scheduled jobs, enabling personalized campaigns on CRM platforms like MoEngage. • Built and deployed a server for custom workflows / data pipe from sales platforms to payment gateways and vice versa. (Stack: Golang, EC2, Lambda)

SDE - I (Backend, Data, Platform) at AppsForBharat, May 2023 - Feb 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, • Built and maintained microservices using GoLang to power core data platform features of data capture and aggregation, streaming data ingestion, ensuring low-latency and reliable processing across distributed systems. • Designed and maintained backend services for routing events to multiple systems, enabling real-time processing and analytics. • Led development of a real-time event verification system to validate event data, identify discrepancies, and automate ticket generation, enhancing system reliability. • Integrated event flows with third-party platforms like Appsflyer, Mixpanel, MoEngage, and BigQuery for analytics, marketing, and CRM automation • Developed an end-to-end customer feedback system via WhatsApp, increasing user feedback rates from 38% to 79% and enhancing support engagement • Designed and developed pipelines to effectively process website events in real-time, enabling downstream data analytics and product workflows. • Enhanced guest user tracking mechanisms on the website, improving unknown user identification and boosting analytics funnel completion from 10% to 77% • Extensively used AWS (Kinesis, Lambda, Cloudwatch), CI/CD (Bitbucket pipelines), and databases like MongoDB, Redis, Postgres

Software Developer Intern at AppsForBharat, Jan 2023 - Apr 2023 · 4 mos, . Developed a Swift-based reminder service in iOS. . Worked in GoLang and MongoDB to implement event aggregation and data storage functionalities.

Embedded Software Intern at ICU Medical, May 2021 - Dec 2021 · 8 mos, Chennai, Tamil Nadu, India, . Actively contributed to the embedded team by writing PyTest test scripts for the NextGen infusion pump. . Played a key role in enhancing the code coverage significantly, elevating it from 51% to an impressive 78%.

Education

MSc, Software Systems, PSG College of Technology