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 2025Present · 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 2025Jun 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 2024Jul 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

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech — Computer Software Engineering

Jan 2021Jan 2025

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