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Sreenidhi L

As a Generative AI Engineer with two years of experience, I approach complex challenges with a blend of ambition and open-minded curiosity. I thrive on exploring innovative solutions, always ready to improvise and adapt with flexibility, ensuring empathetic and effective outcomes.

Contact details — on requestProof of Work — on request

Experience

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Generative Al Engineer

Tata Consultancy Services (TCS) · Jan 2022 – Jan 2024

Not yet confirmed
  • Built a production GenAl microservice for semantic search over a legal knowledge base using vector similarity search through an internal Al search platform.
  • Supported enterprise security hardening and formal internal security and quality certification requirements for the Al service.
  • Containerized and deployed services across multiple environments, enabling consistent delivery on enterprise infrastructure.
  • Built a chat-based development and test harness for orchestrating LLM agents and tool integrations across multiple LLM providers, accelerating agent experimentation and validation.
  • Built an LLM-as-a-judge evaluation framework to benchmark RAG search quality and measure improvements across retrieval iterations.
  • Built a centralized prompt management service for creating, managing, and versioning generative-Al prompts across multiple client applications.
  • Built an LLM-driven document processing pipeline that extracts structured data from legal documents and converts it into datasets for evaluation and quality analysis.
  • Built a multimodal mobile test automation agent using screenshots, Ul state, and vision-language reasoning to generate structured actions for mobile execution; refactored it into a tool-based architecture for extensibility.
  • Researched Al-driven GUI grounding using OCR and fuzzy matching to locate Ul elements from natural-language instructions, including exploration of vision-model-based grounding approaches.
  • Built ReAct-based, tool-calling agents with LangChain and LangGraph against an internal LLM gateway for incident-resolution and ticket-automation use cases.

Skills 0 proven through work

Also works with

Chart Data ExtractionProcess ImprovementLarge Dataset HandlingRequirements AnalysisInnovation StrategySelf-Directed LearningProblem SolvingAdaptabilitySystem EnhancementPython DevelopmentMachine Learning ApplicationExploratory Data Analysis (EDA)Technical Solution DesignModel Accuracy MaintenanceCustomer Relationship BuildingNew Technology IntegrationTechnical TroubleshootingAI Solution ImplementationResearch MethodologyAWS Textract UsageData TransformationUnstructured Data ProcessingComputer Vision ModelingOCR System DevelopmentPDF Library UsageUI Implementation from DesignNeo4j UsageRetrieval-Augmented GenerationLLM-based Data ExtractionIntelligent Document ProcessingGenerative AI Application

Proof of Work

Proof of Work

Sreenidhi shares this with people who ask. You'll hear back either way.

Education

B.Tech, Computer Science & Engineering

SRM University · 2020 — 2024

Contact details

Contact details

Sreenidhi shares this with people who ask. You'll hear back either way.

What drives their work

The Explorer — Finds the unmapped route

The Explorer

Navigates uncharted technical territories, adapting and innovating along the way.

Sreenidhi's superpower

You excel at charting new courses through complex technical challenges, especially when the path is undefined.

How Sreenidhi works

You would thrive in a product-focused team that values innovation, continuous learning, and tackling ambiguous technical problems.

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