Nipun Aggarwal

AI Researcher

Bengaluru, Karnataka, India3 yrs 11 mos experience

Highly StableAI ML Practitioner

Key Highlights

Led telemetry projects impacting millions of devices.
Published 7 papers on social media information diffusion.
Architected ML Ops data pipeline improving incident response.

Stackforce AI infers this person is a skilled ML Engineer with expertise in Infrastructure and Fintech sectors.

Contact

Skills

Core Skills

Network EngineeringTelemetry Systems

Other Skills

C++TelemetryNetwork MonitoringAutomationData AnalysisArtificial Intelligence (AI)AWSCybersecurityMySQLDeep LearningAlgorithmsData StructuresAndroid DevelopmentMachine LearningSQL

About

Google ML Engineer with ~6 years of experience Personal Mission Statement - "To leave a good impact on the people I meet and the places I go." Working as an MLE with Google to integrate the LLM wave with speech enabled assistant experiences! For 2 years, worked on Low Latency Networks at Google, enabling "hardware uptime" telemetry using XX+ Billion per second packet probes. For 2 years, worked on creating Jira Telemetry and ML-enabled cross-product integrations for ITSM at Atlassian. Academia in Social Networks, Information Diffusion, and Rumor Control with 4 conference publications, 2 journal articles, and 1 archive publications. Graduated with a Bachelor's Degree in Computer Science in June 2020 -- 9.1/10 CGPA . An International Trainee at Untouched World Foundation at Dunedin, New Zealand, where he assisted the development of ideas concerning water regulation at 7 locations and proposed them to Queenstown Lake Council and Contact Energy officials. Qualified and competed in ICPC regionals at Amritapuri in 2018 as well. Worked at the Data Management Laboratory of the Indian Council of Medical Research and leveraged DHIS2, a business interface by WHO, to improve data collection for Infant Mortality.

Experience

3 yrs 11 mos

Total Experience

Average Tenure

3 yrs 11 mos

Current Experience

Google

4 roles

ML Engineer for Gemini on IoT

Feb 2025 – Present · 1 yr 4 mos

Home that understands you and takes care of residents using AI.

ML Engineer for Gemini x Assistant, Software Engineer III

Jul 2024 – Feb 2025 · 7 mos

Powering Seamless multi-turn conversation by contextual rewriting.
Integrating the LLM wave into voice-enabled experiences with Google Assistant :)

20% at Google Research India

Jul 2023 – Dec 2023 · 5 mos

Data augmentation for Intent Generation by style variations of user requests. As an example, "Play Music" could also be said as "Stupid bot, Play Music", "Please play some music", "Could you please play music". We made these work!

Low Latency Network Telemetry, Software Engineer III

Jul 2022 – Jul 2024 · 2 yrs

[Lead] Owner of a telemetry daemon that runs on every host in Google's fleet of X Million with XX Billion probes per second in the network to measure availability.
[Lead] Designed on-demand pinpointing probes for detecting latency variations in multicast for financial transactions to be used by Chicago Mercantile Exchange (CME).
[Mentor] Mentored a 6-month internship automating the testing of a system process that powers network telemetry, google wide CPU profiling, and security based isolation of the fleet.
[Co-lead] Co led a project that led to probe based telemetry of 'Cloud Customer' facing devices enabling health data for Google's new inter-connection hardware.
[Delivery] Added a new service that pre-cached and batched the data acting as a secondary source for an existing critical telemetry reducing customer onboarding time.
[Delivery] Worked on a year-long feature making bandwidth usage and throttling data available to Google Cloud Customers under guidance of a Senior Engineer.
[Engineering Excellence] One of the first people to become a part of C++ readability mentoring in India.
[Trainer] Certified trainer for Noogler (New Googler) Technical Immersion acting as a team mentor.

C++TelemetryNetwork MonitoringAutomationData AnalysisNetwork Engineering+1

Atlassian

2 roles

Software Engineer II - Distributed ML Ops and Security

Sep 2021 – Jul 2022 · 10 mos · Greater Bengaluru Area

[Feature Lead] Architected ML Ops Data Pipeline for Past Data (Bootstrap) and Live Data (CDC) for Alert to Incident Machine Learning Model and filed a patent in linking the alert tree.
[Security SME] Speaker at external SCW Devlympics secure coding conference as Atlassian representative
[Feature Lead] Led the 95% improvement in build times of a calculated table by making it incrementally built, improving data freshness for on-call reports and dashboards by 6 hours, mentored a junior engineer.
[Mentor] Co-created a moonshot NLP project with my 6 month intern mentee that made querying the operational alerts easier for our customers. Our head of engineering called it "jaw-dropping"
[Security SME] Discovered privilege escalation vulnerability in internal tooling
[Co Feature-lead] Enabled the data ingestion of Request and Change management (2/5 pillars of ITSM solution) End to End, from data extraction, transport, to transformation and finally creating dashboards under the mentorship of a Senior Engineer.
[Co Feature-lead] Enabled the data ingestion of Service Graph Store for cross region replication to data lake under the leadership of a Senior Engineer
[Operational] Delegated PIR champion and have the responsibility to ensure that Post Incident Reviews are complete and the priorities are actioned within SLO. Led 3 PIRs for Major Incidents customer-facing, handling the customer communication.

Software Engineer - Incident Management Backend and Analytics

Aug 2020 – Aug 2021 · 1 yr · Greater Bengaluru Area

[Feature Lead] Feature led the movement of Incident Timeline to Atlassian ITSM offering from acquired product using a new microservice delivering 3 weeks early.
[Mentoring] Mentored and Guided an 8-week internship
[Security SME] Active Security Champion of the team solving 100+ Atlassian Vulnerabilities, also reported 5+ security issues in authentication and cryptography mechanisms
[Engineering] Improved customer-facing reporting performance by analysing and adding necessary indexes in MySQL tables on Amazon RDS on our most used dashboard. This led to Slow Query (>10s) count going from 42% -> 3%, complete planning was done by a Senior Engineer.
[Innovation] Architected 2 major innovation projects. One was accepted as an MVP to be released to the public and the other is being released to public and has been filed as a patent.
[Operational] Acting as a primary oncall handled 300+ alerts, analysed and generated techops reports, and managed 3 ongoing incidents.

Rbs

Software Engineer Internship

May 2019 – Jul 2019 · 2 mos · Gurgaon, India

Software Engineering Intern at Royal Bank of Scotland(NatWest Group) with the Enterprise Solutions Team under Technology Hub India. Learnt to use multiple AWS Services including S3, and EC2.

Otago polytechnic

Research Scholar

Mar 2019 – Apr 2019 · 1 mo · Dunedin, Otago, New Zealand

Worked in New Zealand to explore multiple use-cases of Technology in Water Management and audited solutions implemented by Contact Energy in Power distribution, and learnt about usage of analytics and observability metrics in Flood regulation at Wakatipu Lake (Queenstown), and water cleaning at Dunedin Oxidation Pools. Presented solutions to common water rate regulation problems for Klutha river, to the Queenstown Lakes Council in the 21 Day research project sponsored by UNESCO and Otago Polytechnic, and supported by the Untouched World Foundation under mentorship of Dr Katarya

indian council of medical research (icmr)

Software Engineer Internship

Dec 2018 – Jan 2019 · 1 mo · New Delhi Area, India

Worked on creation of data transfer pipeline for CHAMPS program of the Indian Government regarding Infant Mortality. Facilitated migration to District Health Information System (DHIS2). Automated CSV/PDF data collection, aggregation and reporting, by automating the data flow and doing automatic format conversion through adapters.

Government of jharkhand

Software Engineer Internship

Dec 2018 – Dec 2018 · 0 mo · Jharkhand, India

Made an Android Application for facilitating District Administration in Simdega District of Jharkhand. Field visits are a crucial part of the organization for quality assessment. Digitized the Field visit process by allowing facilitators to click photographs and reduced manual work and paper usage. Used threading and socket communication concepts in Java for real-time chat.