Dhruv Malhotra

Software Engineer

Delhi, India11 mos experience

Key Highlights

SDE-1 at Meesho with impactful projects
Interned at Amazon, enhancing delivery prediction
Winner of Morgan Stanley CodeToGive’23

Stackforce AI infers this person is a Software Engineer with expertise in SaaS and E-commerce solutions.

Contact

Skills

Core Skills

Software DevelopmentCloud ComputingMachine Learning

Other Skills

PythonJupyter EGJupyter ServeripykernelGCP servicesK8sDataprocPySparkMLOpsUnit TestingAmazon Web Services (AWS)C++Object-Oriented Programming (OOP)C (Programming Language)HTML5

About

I am a senior undergrad pursuing B.Tech in Software Engineering at Delhi Technological University recently completed my 2 month SDE internship at Amazon. I have a deep interest in competitive programming. My proficiency in DSA, C++, and C, coupled with my dedication to learning and growth, position me for a promising future in the software industry. I am excited about the opportunities ahead and eager to make a meaningful impact in the field of software engineering.

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Meesho

2 roles

SDE-1

Jun 2025 – Present · 11 mos · Bengaluru, Karnataka, India

Took complete ownership of the single-user Spark kernel, resolving issues related to MQ communication, Spark ML compatibility, and unsupported JVM operations in Spark Connect and shared kernels.
Improved kernel connection by modifying the open-source Jupyter EG WebSocket implementation and developing a custom Remote Kernel Manager to enable session persistence with 100% stability.
Developed the Scala Spark kernel on Dataproc, diversifying the platform by onboarding Scala users.
Tech Stack Used: Python, Jupyter EG, Jupyter Server, ipykernel, GCP services including K8s, Dataproc.

PythonJupyter EGJupyter ServeripykernelGCP servicesK8s+3

SDE Intern

Jan 2025 – Jun 2025 · 5 mos · Bengaluru, Karnataka, India

Built and enhanced an internal notebooking solution empowering analysts and data scientists.
Automated Spark Connect server setup on Dataproc and created remote Jupyter kernels with pre-
initialised spark having shared resources to enhance resource utilization and cost efficiency.
Enabled real-time pip library installation on both the kernel and Spark Connect server without restart.
Tech Stack Used: Python, Jupyter EG, Jupyter Server, ipykernel, GCP services including K8s, Dataproc.
Offered with a full time Pre-Placement offer (PPO).

PythonJupyter EGJupyter ServeripykernelGCP servicesK8s+3

Amazon

Software Development Intern

May 2024 – Jul 2024 · 2 mos · Gurugram, Haryana, India · Hybrid

Worked with a team of Applied Scientists to build an automated pipeline for running predictive models to estimate delivery dates of delayed packages.
The pipeline allowed users to provide configuration files, generating data, training models, and saving results in MLflow and S3 buckets with a single click.
Modularized and refactored the codebase, leveraging OOP principles to improve maintainability and reduce redundancy.
Implemented comprehensive unit tests, increasing test coverage from 0% to 94%
Offered with a full time pre-placement offer (PPO)

PySparkMLOpsMachine LearningSoftware Development