Parjanay Sharma

Software Engineer

Mandi, Himachal Pradesh, India2 yrs 5 mos experience

Most Likely To Switch

Key Highlights

Engineered a data migration solution for 1M profiles in 5 minutes.
Improved automation reliability by 90% at Contlo.
Designed a Deep Learning model for COVID-19 detection.

Stackforce AI infers this person is a SaaS and Healthcare-focused Software Engineer with expertise in data infrastructure and deep learning.

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Skills

Core Skills

Software InfrastructureRuby On RailsDeep Learning

Other Skills

Apache KafkaJavaJavaScriptConvolutional Neural Networks (CNN)Amazon Web Services (AWS)Go (Programming Language)KubernetesPostgreSQLRediswebhookdockerPhysicsFront-end DevelopmentMySQLHTML5

About

Our efforts at Confluent are centered around advancing data infrastructure with precision and innovation. With a recent achievement in integrating real-time communication platforms for commercial stores, the team and I have empowered clients to elevate their customer engagement strategies. This success builds on my expertise in Software Development, developed during my formative years at BITS Pilani and refined through hands-on industry experience. The role at Contlo prior to Confluent was a testament to our ability to tackle complex engineering challenges, such as improving their micro-services' reliability by 90% and deploying a high-performance data migration pipeline. These initiatives have highlighted my commitment to delivering solutions that not only meet but exceed operational expectations, ensuring robust and efficient system performance for our clients.

Experience

2 yrs 5 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 9 mos

Current Experience

Confluent

Software Engineer

Aug 2024 – Present · 1 yr 9 mos · Bangalore Urban, Karnataka, India · Remote

Apache KafkaSoftware Infrastructure

Contlo

Software Engineer

Sep 2023 – May 2024 · 8 mos · Bengaluru, Karnataka, India · On-site

> Engineered an on-click data migration solution from Klaviyo and Omnisend, capable of handling 1M profiles, profile data, and events within 5 minutes
> Improved Contlo's automation reliability by addressing Shopify event lag and multiple trigger issues by bookkeeping, chronological maintenance, and load testing, reducing issue occurrence by 90%
> Successfully integrated Meta’s Messenger with the platform, enabling retrieval of old conversations, real-time message exchange, and multimedia support for 20 commercial stores
> Built a scheduler using Redlock to productionize Autonode, a neurographic engine for GUI automation, ensuring 1000 rpm adhering to Open Source standards.
> Diagnosed and resolved approximately 150 P0-level on-call issues with a turnaround time of one day, spanning across 15 microservices for prominent brands such as GIVA, Happilo, Itokri, and MyMuse.
> Developed 25 templates for frequent criteria-based segmentation of profiles using personal details and Shopify events, significantly reducing campaign creation time.

Ruby on RailsJava

Avaamo

Ruby on Rails Developer

Jul 2022 – Jun 2023 · 11 mos · Bengaluru, Karnataka, India

◦ Led the integration of Slack with Avaamo’s platform to facilitate interactive carousels and multimedia
◦ Engineered a role-based page permission console, for secure navigation for 50+ non-tech personnel.
◦ Developed a robust Campaign Message framework for outreach purposes, supporting over 5k+ valid users.
◦ Results: Reduced message latency by 30% across a user base of 500+, including prominent companies like
Intuit and Mondelez.

Ruby on RailsJavaScript

Ineuron.ai

Deep Learning Intern

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

> Worked on the project, 'Unveiling COVID-19 from Chest X-Rays'
> Designed and trained a Deep Learning model to predict Covid infection in lungs on a Kaggle dataset with 11,000+ images.
> Used Convolutional Neural Network with Data Augmentation for better results in the models.

Convolutional Neural Networks (CNN)Deep Learning