Shivam Samdani

Software Engineer

Seattle, Washington, United States9 yrs experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Over 5 years of software engineering experience at Microsoft.
  • Expertise in AI observability and enhancing user engagement.
  • Strong analytical skills with a collaborative mindset.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and data governance.

Contact

Skills

Core Skills

Software DevelopmentAi ObservabilityData GovernanceSearch Algorithms

Other Skills

API DevelopmentAnalytical SkillsApplication ArchitectureArtificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)C#C++Cascading Style Sheets (CSS)Code ReviewCoding StandardsCommunicationComputer ScienceContinuous Integration and Continuous Delivery (CI/CD)Data Manipulation

About

As a Software Engineer, I bring over 5 years of experience in developing innovative solutions at Microsoft. My journey began at IIT Hyderabad, where I graduated as an Institute Medalist with a Bachelor’s degree in Computer Science. My professional experience spans across various facets of software development, including algorithm design, system architecture, and performance optimization. At Microsoft, I have been instrumental in enhancing search functionalities, contributing to projects that significantly improve user experience and engagement. I am passionate about leveraging technology to solve complex problems and am always eager to learn and adapt to new challenges. My technical expertise is complemented by strong analytical skills and a collaborative mindset, enabling me to work effectively in diverse team environments. Outside of work, I enjoy exploring new technologies, contributing to open-source projects, and staying updated with the latest industry trends. I am always open to connecting with like-minded professionals and exploring opportunities for collaboration and growth.

Experience

9 yrs
Total Experience
1 yr 10 mos
Average Tenure
5 yrs 11 mos
Current Experience

Microsoft

3 roles

Software Engineer 2

Sep 2025Present · 9 mos · Hybrid

  • I’m currently part of the AI Observability team, where we focus on enhancing the security, reliability, and monitoring of intelligent Agents. Our work ensures that AI systems operate safely and transparently at scale, with robust tooling for performance insights and anomaly detection.
Software DevelopmentAI ObservabilitySecurityReliabilityMonitoring

Software Engineer 2

Feb 2023Aug 2025 · 2 yrs 6 mos · Hybrid

  • Worked as part of the Microsoft Purview platform team, contributing to scalable data governance and compliance solutions. My focus was on building core platform capabilities that enable secure data discovery, classification, and policy enforcement across hybrid environments. Collaborated cross-functionally to enhance system reliability, improve performance, and support enterprise-scale deployments.
Design SpecificationsUser Experience (UX)Software InfrastructureWeb ComponentsTechnical DesignNode.js+63

Software Engineer

Jun 2020Feb 2023 · 2 yrs 8 mos · Hybrid

  • Worked on the Bing Related Searches team, where I contributed to improving query understanding and enhancing user engagement through intelligent search suggestions. My work focused on building scalable backend systems and refining relevance algorithms to surface contextually meaningful related queries. Collaborated with data scientists and product teams to optimize ranking models and deliver high-performance, low-latency experiences across global markets.
Design SpecificationsUser Experience (UX)Software InfrastructureWeb ComponentsTechnical DesignJava+55

Tcs research & innovation

Summer Intern

May 2019Jul 2019 · 2 mos · Pune

  • Deep Learning has enabled remarkable progress over the last years on a variety of tasks, such as image recognition, speech recognition, and machine translation. One crucial aspect of this progress are novel neural architectures. Currently employed architectures are limited by humans understanding of Artificial Intelligence. There is a growing interest in automated neural architecture search methods specifically varying in the three dimensions: search space, search strategy, and performance estimation strategy. Efficient Neural Architecture Search (ENAS), a fast and inexpensive approach for automatic model design. In ENAS, a controller discovers neural network architectures by searching for an optimal subgraph within a large computational graph. The LSTM controller(an agent for Reinforcement Learning) is trained with policy-based algorithms, REINFORCE with policy gradients to handle continuous or stochastic action space, optimizes the policy without using a value function and selects a subgraph that maximizes the expected reward on a validation set. Meanwhile, the model corresponding to the selected subgraph is trained to minimize a canonical cross-entropy loss for Multi-Class Classification and Mean-Squared Error for Regression. Sharing parameters among child models allows ENAS to deliver strong empirical performances while using much fewer GPU hours than existing automatic model design approaches.
Software DevelopmentPresentations

Iit hyderabad

Teaching Assistant

Aug 2017Jun 2020 · 2 yrs 10 mos · IIT Hyderabad

  • For Environmental Chemistry (Advanced), Dynamics of Chemical System Courses, Calculus, and Vector Calculus Courses.

Ceipheid-astronomy and astrophysics club

Core

Jul 2017May 2018 · 10 mos · IIT Hyderabad

Ritsumeikan university

Exchange Program Participant

Jul 2017Dec 2017 · 5 mos · Kyoto, Japan

  • Project: Worked in Water Suply and Quality team and developed a real-time water monitoring device inorder to capture various different parameter of water quality (including measurement of MRB). The final presentation being in Ritsumeikan University, Kyoto, Japan

E-cell, iit hyderabad

Manager

Jun 2017May 2018 · 11 mos · IIT Hyderabad

Rangdemanch (drama club)iit hyderabad

Coordinator

May 2017May 2018 · 1 yr · IIT Hyderabad

Sunshine iit hyderabad

Mentor

May 2017May 2018 · 1 yr · IIT Hyderabad

Jyoti structures limited

Finance Intern

May 2017Jul 2017 · 2 mos · Mumbai Area, India

  • Worked in a team of 10 interns to understand the running of company finances and accounts. I also worked on tabulating and verifying balance sheets. Specifically, handled relations with banks and contractors to manage Letter of Credits and Bill of Exchanges

Education

Georgia Institute of Technology

Master of Science - MS — Computer Science

Jan 2022Aug 2025

Indian Institute of Technology Hyderabad

Bachelor of Technology - BTech — Computer Science and Engineering

Jan 2016Jan 2020

HSC

12th Board — Science

Jan 2014Jan 2016

ICSE

10th Grade — Science

Jan 2013Jan 2014

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