Shubham Agrawal

Lead ML Engineer

Varanasi, Uttar Pradesh, India8 yrs 9 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in Machine Learning and Natural Language Processing.
Proven track record in deploying AI solutions.
Strong leadership in data-driven projects.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on enterprise solutions.

Contact

Skills

Core Skills

Solution ArchitectureLarge Language Models (llm)Generative AiMachine LearningNatural Language Processing (nlp)Data ScienceBanking

Other Skills

AI AgentsAI PromptingAPI DevelopmentAbstractingAmazon Web Services (AWS)Analytical SolutionsAnalyticsConversational AICritical ThinkingData AnalyticsData ManipulationData ModelsData VisualizationDatasetsDeep Learning

About

I am a visionary and tech enthusiast with a profound fascination for the ever-evolving world of technology.My expertise lies in Java and Python, and I am continually enhancing my skills in the realms of Machine Learning (ML), Natural Language Processing (NLP), and Generative AI(Gen AI). My professional journey is marked by a relentless pursuit of innovation and a commitment to leveraging technology to solve complex problems. I am deeply interested in the transformative potential of AI and its applications across various industries.

Experience

8 yrs 9 mos

Total Experience

2 yrs 2 mos

Average Tenure

Current Experience

Pinegap.ai

Lead ML Engineer

Oct 2024 – Jun 2025 · 8 mos · Bangalore Urban, Karnataka, India · On-site

1. Architected AI agents to automate workflows for tracking corporate risks, leadership changes, and insider transactions across thousands of companies.
2. Created a real-time intelligence layer for analysts to assess the evolving impact of filings, news, and peer activity on their investment narratives.
3. Engineered a high-throughput RAG system to help analysts query insights from over a million company documents (PDFs, TXT, HTML)

Technical Solution DesignSolution ArchitectureMicroservicesFinancial AnalysisEquity ResearchWorkflow Automation+9

Sprinklr

3 roles

Senior Data Scientist

Aug 2022 – Oct 2024 · 2 yrs 2 mos

1. Built an LLM-powered pipeline to identify contact drivers and root cause intents in case conversations with 80%+ accuracy across domains using fine-tuned LLaMA models.
2. Delivered domain-specific multilingual intent detection models for industries like Airlines, Banking, and Tech, achieving 85% F1-score across 100+ languages using SOTA models.
3. Designed a Generative AI-powered system for automated data labeling & synthesis in text classification, reducing turnaround time from 6 to 3 weeks and enabling annual savings of over $200K.

LeadershipCritical ThinkingRelevanceGen AILarge-scale ProjectsDeployment Strategies+11

Data Scientist

Promoted

Aug 2020 – Aug 2022 · 2 yrs

1. Led the full-cycle development and deployment of high-accuracy intent classification models across multiple industry domains, consistently achieving >95% in both accuracy and precision.
2. Engineered a language-agnostic text classification system using XLM-RoBERTa, outperforming existing benchmarks in cross-lingual accuracy.
3. Built a high-performance pipeline for extracting slot-value pairs from user queries, combining token classification models with regex-based parsing for precise value extraction.
4. Optimised and deployed ML workloads on Kubernetes and Docker, ensuring low-latency (under 250ms) responses and high reliability in production at scale.

DockerMachine LearningGrafanaPython (Programming Language)Search RelevanceGitlab+8

Data Scientist

May 2020 – Aug 2020 · 3 mos

Designed and deployed a model to predict whether a post was promoted and when it was promoted, using features inferred from the post engagement and reach trend.

Scikit-LearnDockerPython (Programming Language)Data ScienceMachine LearningExploratory Data Analysis