Tejas Sankhla

Software Engineer

Jodhpur, Rajasthan, India0 mo experience

Key Highlights

Stackforce AI infers this person is a Backend Developer with experience in MarTech and Healthcare IoT.

Web DevelopmentMarketing TechnologySystem ArchitectureJob QueuingData AnalyticsBackend DevelopmentAuthenticationIotAlgorithm Development

Algorithm DesignAnalyticsAutomationBullMQGitIntegrationJWTMarTechMobile Edge ComputingMongoDBNext.jsNode.jsOAuth 2.0System DesignTask Scheduling

2 roles

Jan 2025 – Present · 1 yr 2 mos · Gurugram, Haryana, India

Sep 2024 – Dec 2024 · 3 mos · Gurugram, Haryana, India

Developed a MarTech MVP for automating marketing campaigns on targeted leads, including a no-code landing page builder using server-driven UI in Next.js — reduced manual CSM efforts by 90%.
Designed and shipped a modular, pluggable notification service (email + in-app) leveraging BullMQ for reliable job queuing, authored HLDs/LLDs and integrated the system across client modules.
Built a real-time analytics dashboard with MongoDB aggregations, pagination, and Next.js SSR to track full-funnel campaign performance and prospect statuses efficiently.

May 2024 – Jun 2024 · 1 mo · Kerala, India · Remote

At Skillmate, we were building India’s own freelancing platform, aimed at connecting freelancers and clients across the country. As part of the backend team, here are my key contributions:
1. Developed a hybrid authentication system using JWT and OAuth 2.0, with role-based authorizations.
2. Added GridFS layer on master DB handling document sizes beyond MongoDB’s 16mb BSON limit.
3. Employed Node.js streaming to integrate CSV parser for uploading contacts to MongoDB, handling edge cases and failures, processing data in chunks across batches.
4. Integrated Twilio API's for OTP-based verification, for user registration and login.
5. Followed Test Driven Development with Jest, writing unit tests increasing robustness and quality of backend services.
6. Actively used Git for team-collaboration through efficient branching, code reviews and Pull requests.

Jan 2024 – May 2024 · 4 mos · Lucknow, Uttar Pradesh, India · On-site

Architected priority-based task scheduling techniques tailored for healthcare IoT devices within a Mobile Edge Computing (MEC) architecture, ensuring real-time processing and efficient resource utilization for critical medical applications.
Designed a dynamic task allocation algorithm to optimize the distribution of tasks between edge and cloud nodes, incorporating urgency calculation parameters such as response time, task criticality, and resource availability to enhance system responsiveness and reliability in healthcare scenarios.