Headline

SDE 3 (Data & 🗻) @ Uniqode | ex - @Atlan, @SixGroup | M. Tech @ IIIT Kalyani | GSoC ’21 @ Dart (Google)

About

👋 Hello, my LinkedIn Fam! I'm Soumyadip Mondal, a passionate and results-driven software engineer dedicated to innovation and excellence. With a robust foundation in computer science and engineering, I specialize in developing cutting-edge solutions for complex problems, particularly in data processing, integration, and automation. My technical expertise spans across a wide range of programming languages, platforms, and tools, making me a versatile and adaptable professional. → Previously at Atlan, I spearheaded the development and maintenance of numerous integrations and data crawlers, ensuring robust performance and seamless integration into the product lineup. My efforts in optimizing the Argo pipeline orchestration platform elevated the SLA from 92% to 97% and reduced orchestrator-caused disruptions by 99%. I also implemented an advanced alerting and instrumentation platform, proactively resolving customer issues and boosting user satisfaction rates. → At FactEntry, I leverage linguistic analysis and computer vision techniques to extract critical insights from unstructured data, enhancing data utility and reliability. I built a high-speed automated data extraction pipeline for legal and financial documents, achieving a processing speed of 50ms per page and significantly improving data throughput and efficiency. 🚀 My broad skills include: → System Design → Software Development Life Cycle (SDLC) → API Development → Microservices → Data Analysis → DevOps → Continuous Integration/Continuous Deployment (CI/CD) → Agile Methodologies → Test-Driven Development (TDD) → Version Control (Git) ✯ Driven by a love for technology and a commitment to excellence, I am always eager to tackle new challenges and collaborate with like-minded professionals. Let’s connect and explore how we can leverage technology to drive innovation and achieve remarkable results. 🤝 Email: mandal.soumyadip9714@gmail.com GitHub: github.com/unsuitable001

Location

Kolkata

AI stack

anthropic apis

claude code

hermes agent

langsmith

Arize Phoenix

Weaviate

Work experience

Software Development Engineer - III at Uniqode, May 2025 - Present · 1 yr 4 mos, Bengaluru, Karnataka, India

Software Engineer (L2) at SIX, May 2024 - Apr 2025 · 1 yr, Chennai, Tamil Nadu, India, FactEntry - Part of SIX Group

Software Engineer - II at Atlan, Oct 2023 - May 2024 · 8 mos, While working as a Software Engineer - II, I played a pivotal role in enhancing the company's data integration and orchestration capabilities. My key responsibilities included: - Integration Development: Spearheaded the development and maintenance of 15+ integrations and data crawlers, ensuring robust performance and seamless integration into the product lineup. - Scalability & Stability Enhancement: Enhanced the scalability and stability of Argo, the pipeline orchestration platform, elevating the Service Level Agreement (SLA) from 92% to 97% and reducing orchestrator-caused disruptions by 99%. - Customer Issue Resolution: Orchestrated proactive resolution of 80% of customer issues by implementing an advanced alerting and instrumentation platform, boosting user satisfaction significantly. Data Analysis Optimization: Optimized the popularity feature using Apache Spark, efficiently analyzing over 30 million queries across customer data assets, thereby enhancing data insights and operational efficiency. - Observability & Instrumentation Improvement: Led initiatives to improve observability and instrumentation, providing greater visibility and metrics for existing integrations, and contributing to the development of centralized observability solutions.

Software Engineer - I at Atlan, Sep 2022 - Sep 2023 · 1 yr 1 mo, I made significant strides in advancing the company’s metadata marketplace and integration frameworks. I developed sophisticated integrations for diverse data sources, including MongoDB, QlikSense, Kafka, Redpanda, Hive, Glue, Azure Event Bus, and Confluent Schema Registry. - My efforts in engineering metadata parsers for Glue, Hive, and QlikSense greatly enhanced metadata extraction and established comprehensive data lineage across multiple sources. - I successfully reduced resolution times by 90% through a standardized framework for BI and NoSQL integrations, which also streamlined testing processes and reduced onboarding time. - By extending the metadata range and optimizing runtime with technologies such as Glue, Trino, Salesforce, Snowflake, Databricks, BigQuery, Redshift, and Fivetran, I improved the platform's analytical capabilities. - I also implemented graph traversal algorithms to construct cross-system data lineage graphs for BI tools like PowerBI and Qlik, providing valuable insights into data flow and transformation. These contributions led to a 30% increase in Annual Recurring Revenue (ARR) for Atlan’s metadata marketplace.

Backend Engineer Intern at Atlan, Jan 2022 - Sep 2022 · 9 mos, India, During my internship, I played a crucial role in driving a 35% increase in Annual Recurring Revenue by orchestrating integrations with SQL databases (PostgreSQL, Oracle, MSSQL, Redshift, Snowflake, Databricks) and BI tools (Mode, PowerBI, Tableau, Looker). I also architected and implemented a seamless migration tool for transitioning customers from Atlan’s 1.0 to 2.0 platform, ensuring 100% retention of user-enriched metadata. Key Achievements: - Revenue Growth: Boosted Annual Recurring Revenue by 35% through SQL and BI tool integrations. - Migration Tool: Architected a tool for seamless customer migration, achieving 100% metadata retention. - Service Enhancement: Improved internal service reliability and performance using Golang, Python, and Java/Kotlin. - Workflow Optimization: Developed Preflight Checks to reduce failure rates by 30% and cut down support tickets.

Software Engineer Intern at Betterdata, Nov 2021 - Jan 2022 · 3 mos, Remote, Singapore

Student Developer - Dart (Google) at Google Summer of Code, May 2021 - Aug 2021 · 4 mos, Authored a cross-platform HTTP package backed by Chromium’s network stack (cronet), having 100+ GitHub stars, under the supervision of Google's Dart & Chromium team. - This bought HTTP/3 QUIC, better caching, network switching etc. - The library can deliver 2 times more speed than the standard library in highly parallel workloads. - Worked with Chrome’s and Dart Virtual Machine’s internals to bind them together.

Education

Master of Technology - MTech, Computer Science (Artificial Intelligence & Data Science), Indian Institute of Information Technology Kalyani

Bachelor of Technology - BTech, Computer Science, Sister Nivedita University

Public links

github: https://github.com/unsuitable001

medium: https://medium.com/@unsuitable001