Dhruv Jain

Lead ML Engineer

West Delhi, Delhi, India6 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in scalable AI/ML solutions at Google.
  • Developed advanced ML platforms at ServiceNow.
  • Recognized in multiple innovation challenges.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on scalable AI solutions in the tech industry.

Contact

Skills

Core Skills

Machine LearningSoftware Engineering

Other Skills

AI TechnologiesChat SummarizationSentiment AnalysisLLM EvaluationAzure OpenAIGoogle Vertex AIAleph Alpha AIPostgreSQLDynamoDBElasticSearchJiraPerformance BenchmarkingConvolutional Neural NetworksPythonPowerShell

About

πŸš€ Software Engineer III, Machine Learning at Google | Ex-ServiceNow | Ex-Atlassian | M.Tech (AI & ML) @ BITS Pilani | B.Tech (IT) @ DTU πŸ”Ή Passionate about building scalable AI/ML solutions that drive real-world impact. Currently, I'm a Software Engineer III, Machine Learning at Google, working on cutting-edge AI technologies. πŸ”Ή Previously, I was an ML Engineer II at ServiceNow, developing chat summarization, sentiment analysis, and LLM evaluation platforms across providers like Azure OpenAI, Google Vertex AI, and Aleph Alpha AI. πŸ”Ή Before that, I worked at Atlassian, optimizing Jira Boards & Backlogs for scalability and reliability, leveraging PostgreSQL, DynamoDB, and ElasticSearch. πŸ”Ή Interned at American Express, VISA, and Nokia, working on AI-driven automation and cloud solutions. πŸ’‘ Interests & Expertise βœ” Deep Learning & Retrieval-Augmented Generation (RAG) βœ” Large Language Models (LLMs) & MLOps βœ” Scalable Backend Systems (Java, Go, Spring, Hibernate) βœ” Vector Databases (FAISS, Pinecone, ChromaDB) βœ” Cloud & AI Infrastructure (AWS, SageMaker, OpenVINO) πŸ† Achievements & Recognitions πŸ… 2nd place in Citi Campus Innovation Challenge 2021 (Stock Price Prediction) πŸ… Finalist in Smart India Hackathon (SIH) (Public Health Monitoring) πŸ… Top 100 ranks in multiple Google Kickstart rounds πŸ… IEEE & ICADCML Publications (Clickbait Detection, Cancer Classification) πŸ“– M.Tech Dissertation: "Enhanced Document Question Answering Using RAG, Contrastive Learning & Topic Modeling" Developed a context-aware Document QA system integrating: πŸ”Ή Contrastive learning for better document embeddings πŸ”Ή BERTopic for topic-aware question answering πŸ”Ή Contextual re-ranking based on conversation history πŸ”Ή ChromaDB & LangChain for scalable storage & retrieval This work significantly improves retrieval accuracy, response coherence, and multi-document QA performance. 🌍 Projects & Apps πŸ“± Perfect Mantra – Spiritual mantra tracking app πŸ“° News Flare – Real-time news aggregator 🌎 Air Health – Pollution tracking app πŸ“¬ Let’s connect! Always open to AI, ML, and scalability discussions.

Experience

6 yrs 6 mos
Total Experience
1 yr 6 mos
Average Tenure
1 yr 4 mos
Current Experience

Google

Software Engineer III - Machine Learning

Feb 2025 – Present Β· 1 yr 4 mos Β· Bengaluru, Karnataka, India

  • ML @ GPay
Machine LearningAI Technologies

Servicenow

Machine Learning Engineer II

Feb 2024 – Jan 2025 Β· 11 mos Β· Hyderabad, Telangana, India

  • Developed a platform enabling users to leverage prompt engineering for tasks such as chat summarization, incident analysis, resolution note curation, and sentiment analysis. The platform supports single-turn conversations and integrates with leading LLM providers, including Azure OpenAI, Now LLM, Google Vertex AI, Aleph Alpha AI, and custom LLMs, offering flexibility for diverse applications.
  • The platform allows users to create custom prompts or utilize prompt generation features to simplify the process. It supports configurable model settings like temperature and max tokens, as well as pre-processors and post-processors for tailored outputs. With built-in auto-evaluation capabilities, users can test and optimize prompts efficiently using various methods, supported by detailed evaluation reports.
  • Integrated the platform with multiple ServiceNow experiences, including context menus, virtual agent, UI actions, and the Now Assist Panel, enhancing its functionality within the ServiceNow ecosystem. Additionally, LangChain components such as Chains and Prompt Templates were utilized for building workflows and ensuring consistent, optimized prompt designs, delivering a scalable and efficient solution for single-turn AI-driven tasks.
PostgreSQLDynamoDBElasticSearchJiraPerformance BenchmarkingSoftware Engineering

Producthood

Product Fellow

Jul 2022 – Aug 2022 Β· 1 mo

Mudrex

Crypto and Web3 Fellow

May 2022 – Jun 2022 Β· 1 mo

Un sustainable development solutions network – youth

Local Pathways Fellow

Jan 2022 – Dec 2022 Β· 11 mos

Trishti social welfare foundation

Founder

Dec 2021 – Jun 2025 Β· 3 yrs 6 mos

Chat SummarizationSentiment AnalysisLLM EvaluationAzure OpenAIGoogle Vertex AIAleph Alpha AI+1

University of kerala

Research Fellow

Oct 2021 – Dec 2021 Β· 2 mos Β· Trivandrum, Kerala, India

  • Worked on detection of face masks using Convolutional Neural Networks

Atlassian

Software Engineer

Jul 2021 – Feb 2024 Β· 2 yrs 7 mos Β· Bangalore Urban, Karnataka, India

  • Improved the scalability and reliability of Classic Boards and Backlogs in Jira, enhancing their performance and user experience. Added multiple features, including velocity charts and sprint-related functionalities, to provide teams with better insights and tools for agile planning and tracking. Conducted performance benchmarking of Jira against competitor products, simulating various network and hardware conditions to identify bottlenecks and optimize performance for diverse environments.
  • Contributed to the migration of Jira's issue search from a strongly consistent service using RDBMS (PostgreSQL) to an eventually consistent system leveraging DynamoDB and Elasticsearch. Worked on a process to convert Jira Query Language (JQL) clauses into Jira Intermediary Language (JIL), enabling efficient querying of Elasticsearch and improving the overall search performance.
  • Worked on the EC Client, enabling caching of issue mutations across both backend and frontend layers. This implementation allowed for tracking of mutations, ensuring that changes were propagated and synchronized across systems effectively.

American express

Analyst Intern

Jan 2021 – Jun 2021 Β· 5 mos Β· Gurugram, Haryana, India

  • Worked on modernization of classic SharePoint sites to modern experience.
  • Coded Python Scripts for analysis of sites in the tenant and PowerShell scripts for site transformation and issue resolution.
  • Documented playbooks for different products like AmexDrive, Global Print Services, Share File Services and User guides to enable self service.
  • Created a dashboard for smooth user experience / admin for tracking.
  • Worked on Power Platform solutions for resolving customization issues.
  • Mapped an end to end process for site modernization
Convolutional Neural NetworksMachine Learning

Visa

Software Engineer Intern

May 2020 – Jul 2020 Β· 2 mos Β· Bangalore Urban, Karnataka, India

  • Developed an app to organize complete shopping experience in malls and parking lots. Also used number plates of vehicles to identify users. Promoted cashless transactions ensuring social distancing in pandemic.
  • Also presented a paper on offline transactions and POS machines.

Coding blocks

Teaching Assistant

Dec 2019 – Jul 2020 Β· 7 mos Β· New Delhi, Delhi, India

  • Mentored 56 students as a teaching assistant in DS/Algorithm course
  • Solved challenging problems by providing optimized solutions, as well as debugged codes

Codesignal

Campus Ambassador

Oct 2019 – Jun 2021 Β· 1 yr 8 mos

PythonPowerShellSoftware Engineering

Nokia

Software Engineer Intern

May 2019 – Jul 2019 Β· 2 mos Β· Gurugram, Haryana, India

  • Developed an app named "Team tracker". It focused on tracking third party services provided to the clients.Location monitoring, report generation,on site image upload, push notifications and few other features.

Delhi technological university (formerly dce)

Student Intern

Sep 2018 – Dec 2018 Β· 3 mos Β· New Delhi, Delhi, India

  • Helped with administrative support, including coordinating files and sorting mail. Kept physical files and digitized records organized for easy updation and retrieval.

Hindustan powerprojects private limited

Android App Development Intern

Jun 2018 – Jul 2018 Β· 1 mo Β· Noida, Uttar Pradesh, India

  • Created an android app which helps to connect various boilers, coal fields that operate in Andhra Pradesh and nearby regions to the office operating in Delhi.

Education

Birla Institute of Technology and Science, Pilani

Master of Technology β€” Artificial Intelligence and Machine Learning

Jan 2022 – Jan 2024

Indira Gandhi National Open University

Master of Commerce β€” International Business

Jul 2021 – Dec 2023

Delhi Technological University (Formerly DCE)

Bachelor of Technology β€” Information Technology

Jan 2017 – Jan 2021

The Air Force School (TAFS), Subroto Park

High School Diploma β€” Science

Jan 2005 – Jan 2017

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