Tanusree Roy — Associate Partner

I am a Senior Manager of Data Science at EXL with over eight years of experience driving research-led product innovation in AI and quantum computing. My passion is turning cutting-edge research into robust, production-ready capabilities that deliver measurable business impact. Technical & Research Focus Agentic AI & Embeddings • Designed and prototyped multi-agent workflows using LangGraph to transform complex JSON and unstructured data into high-quality vector embeddings. • Researched adaptive agent orchestration strategies—dynamically allocating sub-agents for data preprocessing, retrieval, and reasoning to optimize throughput and accuracy. Quantum Computing & Algorithms • Investigated quantum-inspired optimization techniques for combinatorial problems, comparing QAOA and VQE approaches on NISQ-class hardware simulators. • Developed proof-of-concept pipelines that integrate classical ML models with quantum subroutines for feature selection and parameter tuning. Product Research & Prototyping • Led end-to-end R&D sprints—from whiteboarding novel architectures to building working prototypes in Python—validating feasibility, performance, and scalability. • Authored internal white papers on semantic search acceleration, hybrid quantum-classical workflows, and automating agent handoff logic. Leadership & Collaboration Mentor and coach a distributed team of ML researchers and engineers—establishing best practices in experimental design, code review, and reproducibility. Partner with product managers and stakeholders to translate exploratory research into clear MVP roadmaps, success metrics, and go-to-market strategies. Present technical findings in cross-functional forums, distilling complex concepts into actionable insights for executives and clients. I’m always eager to connect with fellow innovators in agentic AI, quantum computing, and next-generation AI products. Please feel free to reach out for research collaborations, speaking opportunities, or knowledge-sharing discussions.

Stackforce AI infers this person is a Data Science and AI expert with a focus on quantum computing and multi-agent systems.

Location: Pune, Maharashtra, India

Experience: 9 yrs 6 mos

Skills

Data Science
Artificial Intelligence
Quantum Computing
Algorithms
Machine Learning
Data Analysis
Data Engineering
Software Development
Project Management

Career Highlights

Expert in AI and quantum computing innovations.
Proven track record in leading data science teams.
Strong background in developing production-ready AI solutions.

Work Experience

EXL

Senior Manager | AI Solution (1 yr 9 mos)

GlobalLogic

Senior Software Engineer (1 yr 3 mos)

Data Engineer (11 mos)

Senior Software Engineer (1 yr 5 mos)

ToppersEdge.com India Pvt Ltd

Senior Software developer (8 mos)

Intel Corporation

Software Engineer (1 yr 1 mo)

Prime Focus Technologies

Software Engineer (2 yrs 5 mos)

Education

Master's degree at Woolf

Bachelor’s Degree at Future Institute Of Engineering and Management

Computer and Information Sciences at Khanpur Girls High School

at Khanpur Girls High School

Tanusree Roy

Associate Partner

Pune, Maharashtra, India9 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI and quantum computing innovations.
Proven track record in leading data science teams.
Strong background in developing production-ready AI solutions.

Stackforce AI infers this person is a Data Science and AI expert with a focus on quantum computing and multi-agent systems.

Contact

Skills

Core Skills

Data ScienceArtificial IntelligenceQuantum ComputingAlgorithmsMachine LearningData AnalysisData EngineeringSoftware DevelopmentProject Management

Other Skills

AI/ML architecturemulti-agent systemsquantum algorithm researchmentoringLangGraphvector embeddingsdata preprocessingQAOAVQEGenerative AILLM modelsNatural Language ProcessingPythonAWSDBT

About

Experience

9 yrs 6 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 9 mos

Current Experience

Exl

Senior Manager | AI Solution

Sep 2024 – Present · 1 yr 9 mos · Pune District, Maharashtra, India · Remote

At EXL Service, I lead enterprise AI/ML architecture and innovation initiatives — architecting LangGraph-based multi-agent systems across multiple environments, spearheading quantum algorithm research, and mentoring global teams to translate cutting-edge models into robust enterprise products. My work bridges AI research and deployment, shaping scalable agentic platforms that accelerate decision intelligence for industries like insurance, BFSI, and media.

AI/ML architecturemulti-agent systemsquantum algorithm researchmentoringData ScienceArtificial Intelligence

Globallogic

3 roles

Senior Software Engineer

Promoted

May 2023 – Aug 2024 · 1 yr 3 mos

Built Solutions using Generative AI
Developed prototypes of solutions using LLM models like Llava, Llama 2, Yolo, Gemini Vision Pro and python.
Collaborated with fellow engineers to evaluate software and hardware interfaces.
Collaborated with project managers to select ambitious, but realistic coding milestones on pre-release software project development.
Data Science and NLP
Worked on developing search feature for a business planning based software using Natural Language Processing in Python.
Adjusted design parameters to incorporate new features.
Developed chrome extension using Open AI for smoothening job search procedure in various platform.
Discussed project progress with customers, collected feedback on different stages and directly addressed concerns.

Generative AILLM modelsNatural Language ProcessingPythonMachine LearningArtificial Intelligence

Data Engineer

May 2022 – Apr 2023 · 11 mos

Data Engineering and Analytics
Worked on data engineering by creating EL tasks to migrate data from various data sources (e.g. MS SQL client, MongoDB) to AWS S3 and Redshift warehouse.
Worked on analyzing recruitment data using Lookers
Created data models using DBT.
Developed new, efficient, and well-tested tools for bringing data from different data sources using Python.
Worked on Great Expectation to verify data quality.
Integrated Alembic to create and migrate data from one data source to another.
Used AI recruitment APIs to build browser search extension.
Worked on AWS Cloud Formation, step functions to build CICD pipeline.
Tested code in build environment and committed code to Bitbucket repository within allocated time.