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Sohham Seal

Member of Technical Staff 2 @ Nutanix || Former Intern @ Nutanix, Dell Technologies || ML/AI and Research Enthusiast || Freelancer || Tutor

Bengaluru

2+ years of work experience

Nutanix
Jul 202510 mosPresent

Bengaluru, Karnataka, India

Nutanix
Jan 20256 mosJun 2025

Bengaluru, Karnataka, India

During my internship at Nutanix, I worked on projects at the intersection of automation, anomaly detection, and large language models (LLMs), driving efficiency and innovation across workflows. My key contributions included: - Testing Automation Framework: Developed and implemented a modular automation framework from scratch, significantly improving workflow efficiency and enabling seamless test-case integration for engineering teams. - Log Anomaly Detection with RAG: Designed and deployed a retrieval-augmented generation (RAG)-based anomaly detection system, improving error identification by combining traditional log analysis with contextual insights from external knowledge sources. - LLM-powered Anomaly Summarization: Leveraged large language models to generate advanced, human-readable summaries of detected anomalies, streamlining root-cause analysis and accelerating decision-making. - Hackathon Leadership: Conceptualized and led a winning hackathon project at Nutanix, transforming my original idea into a successful solution that secured first place. This achievement highlighted innovation, technical depth, and leadership in high-impact, collaborative environments.
Dell Technologies
May 20248 mosDec 2024

Bengaluru, Karnataka, India

During my internship at Dell Technologies, I contributed to the Native Edge Solutions domain, focusing on high availability, distributed clustering, and automation in edge computing environments. My key contributions included: - High Availability & Distributed Clustering: Designed and implemented proof-of-concepts leveraging algorithms such as Raft (for consensus) and Ceph (for distributed storage) to build resilient clustering mechanisms in edge platforms. These efforts enhanced fault tolerance, optimized resource allocation, and strengthened system robustness in distributed networking environments. - Networking Automation Framework: Created an entire modular automation framework with test-case scenario plugin options, making it extremely easy for QA engineers to write new test cases by reusing functions I had developed. This framework not only accelerated test creation (reducing time from ~3 days for a single case to just 3–4 hours for 4+ cases) but also enabled the emulation of complex physical networking actions in software terms (e.g., cable pulls, switch reboots, node failures). - End-to-End Development & Testing: Actively worked as both a developer and tester, gaining extensive hands-on experience with edge servers - implementing features, configuring devices, executing updates, and validating system behavior across multiple scenarios.
Verzeo
Aug 20203 mosOct 2020

Kolkata, West Bengal, India

Sohham’s AI Stack

deepseek
deepseek
hugging face
hugging face
langchain
langchain
ollama
ollama

Education

National Institute of Technology Karnataka

Master of Technology - MTech, Computational and Data Science

National Institute of Technology Karnataka

20232 yrs2025
National Institute of Technology Karnataka

Master of Computer Applications - MCA, Mathematics and Computational Sciences

National Institute of Technology Karnataka

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Headline

Member of Technical Staff 2 @ Nutanix || Former Intern @ Nutanix, Dell Technologies || ML/AI and Research Enthusiast || Freelancer || Tutor

About

I’m an engineer, trained in data science, exploring how artificial intelligence is loudly reshaping systems, decisions, and people. I like building things that work today and still make sense tomorrow.

Location

Bengaluru

AI stack

deepseek

hugging face

langchain

ollama

Work experience

Member of Technical Staff 2 at Nutanix, Jul 2025 - Present · 10 mos, Bengaluru, Karnataka, India

Member of Technical Staff Intern at Nutanix, Jan 2025 - Jun 2025 · 6 mos, Bengaluru, Karnataka, India, During my internship at Nutanix, I worked on projects at the intersection of automation, anomaly detection, and large language models (LLMs), driving efficiency and innovation across workflows. My key contributions included: - Testing Automation Framework: Developed and implemented a modular automation framework from scratch, significantly improving workflow efficiency and enabling seamless test-case integration for engineering teams. - Log Anomaly Detection with RAG: Designed and deployed a retrieval-augmented generation (RAG)-based anomaly detection system, improving error identification by combining traditional log analysis with contextual insights from external knowledge sources. - LLM-powered Anomaly Summarization: Leveraged large language models to generate advanced, human-readable summaries of detected anomalies, streamlining root-cause analysis and accelerating decision-making. - Hackathon Leadership: Conceptualized and led a winning hackathon project at Nutanix, transforming my original idea into a successful solution that secured first place. This achievement highlighted innovation, technical depth, and leadership in high-impact, collaborative environments.

Software Engineer Intern at Dell Technologies, May 2024 - Dec 2024 · 8 mos, Bengaluru, Karnataka, India, During my internship at Dell Technologies, I contributed to the Native Edge Solutions domain, focusing on high availability, distributed clustering, and automation in edge computing environments. My key contributions included: - High Availability & Distributed Clustering: Designed and implemented proof-of-concepts leveraging algorithms such as Raft (for consensus) and Ceph (for distributed storage) to build resilient clustering mechanisms in edge platforms. These efforts enhanced fault tolerance, optimized resource allocation, and strengthened system robustness in distributed networking environments. - Networking Automation Framework: Created an entire modular automation framework with test-case scenario plugin options, making it extremely easy for QA engineers to write new test cases by reusing functions I had developed. This framework not only accelerated test creation (reducing time from ~3 days for a single case to just 3–4 hours for 4+ cases) but also enabled the emulation of complex physical networking actions in software terms (e.g., cable pulls, switch reboots, node failures). - End-to-End Development & Testing: Actively worked as both a developer and tester, gaining extensive hands-on experience with edge servers - implementing features, configuring devices, executing updates, and validating system behavior across multiple scenarios.

Summer Intern at Verzeo, Aug 2020 - Oct 2020 · 3 mos, Kolkata, West Bengal, India

Education

Master of Technology - MTech, Computational and Data Science, National Institute of Technology Karnataka

Master of Computer Applications - MCA, Mathematics and Computational Sciences, National Institute of Technology Karnataka