Virendra

Data Scientist

6+ yrs exp 90 · Outstanding

About

Data Scientist with 7 years of engineering experience, 5+ of them building machine learning and NLP solutions that move from experimentation to production. Strong in Python and SQL, with hands-on work in Scikit-learn, XGBoost, PyTorch, TensorFlow, and Hugging Face Transformers, including feature engineering, model evaluation, and custom quality metrics. Builds data pipelines for structured and unstructured data, develops LLM and retrieval-based solutions, and monitors model performance after release. Works with engineers, product owners, and business stakeholders to turn business problems into practical, measurable data-driven solutions, and follows data privacy and security practices in every deployment.

Skills & Expertise (44)

Python Expert

9.2/10

Years Exp

Large Language Models Expert

9.2/10

Years Exp

Hugging Face Transformers Expert

9.0/10

Years Exp

Prompt Engineering Expert

9.0/10

Years Exp

Natural Language Processing Expert

9.0/10

Years Exp

Model Evaluation Expert

9.0/10

Years Exp

scikit-learn Advanced

8.8/10

Years Exp

Feature Engineering Advanced

8.8/10

Years Exp

Data Cleaning & Preprocessing Advanced

8.7/10

Years Exp

PyTorch Advanced

8.7/10

Years Exp

TensorFlow Advanced

8.5/10

Years Exp

XGBoost Advanced

8.5/10

Years Exp

LLM Evaluation Advanced

8.5/10

Years Exp

Model Monitoring Advanced

8.5/10

Years Exp

LangChain Advanced

8.5/10

Years Exp

FastAPI Advanced

8.5/10

Years Exp

SQL Advanced

8.4/10

Years Exp

REST APIs Advanced

8.0/10

Years Exp

Postgresql Advanced

8.0/10

Years Exp

Kubernetes Advanced

8.0/10

Years Exp

Docker Advanced

8.0/10

Years Exp

AWS Advanced

8.0/10

Years Exp

Microservices Intermediate

7.5/10

Years Exp

Selenium WebDriver Intermediate

7.5/10

Years Exp

TestNG Intermediate

7.5/10

Years Exp

GitHub Actions Intermediate

7.5/10

Years Exp

Postman Intermediate

7.5/10

Years Exp

ChromaDB Intermediate

7.5/10

Years Exp

Pinecone Intermediate

7.5/10

Years Exp

FAISS Intermediate

7.5/10

Years Exp

Elasticsearch Intermediate

7.5/10

Years Exp

Airflow Intermediate

7.5/10

Years Exp

Redis Intermediate

7.5/10

Years Exp

CrewAI Intermediate

7.5/10

Years Exp

JavaScript Intermediate

6.5/10

Years Exp

Typescript Intermediate

5.8/10

Years Exp

Azure Vector Embeddings MLflow Azure DevOps Jenkins LlamaIndex LangGraph Retrieval-Augmented Generation

Work Experience

Data Scientist – Generative AI

Beritrave Technologies

Jun 2025 - Present

Design and deliver LLM and RAG-based solutions for enterprise use cases, from problem definition through evaluation, deployment, and ongoing improvement. Define and track evaluation metrics for response quality, retrieval accuracy, latency, and cost, and use the results to tune prompts, retrieval strategies, and model configurations. Build document ingestion and semantic indexing pipelines that clean, chunk, and embed structured and unstructured content using vector embeddings, hybrid search, and metadata filtering. Integrate models and AI services into business applications through FastAPI and REST APIs connected to SQL databases, SharePoint, and internal systems, working with software engineers on deployment. Monitor deployed models through an LLM Gateway with routing, monitoring, and fallback, and add guardrails for input validation, output validation, and sensitive-data handling. Containerize services with Docker and deploy them with DevOps teams on AWS and Kubernetes through CI/CD pipelines. Present results and trade-offs to product owners, solution architects, and data engineering teams, and mentor engineers on evaluation and production AI practices.

Data Scientist – AI/ML & NLP

Web Mytech

May 2021 - May 2025

Built LLM-powered applications for customer support, knowledge retrieval, and document intelligence, including RAG workflows over enterprise documentation using vector-based semantic search. Created data pipelines for ingestion, cleaning, chunking, embedding generation, and indexing of structured and unstructured content, along with reusable prompt templates for summarization, extraction, and classification. Built continuous evaluation pipelines and custom quality metrics (relevance, grounding, latency, hallucination rate) to benchmark model performance across prompts and scenarios. Developed Python services that apply models in multi-turn conversational workflows, with conversation history and contextual memory. Improved scalability and response time through asynchronous API processing, response caching, and tuned prompt execution. Connected enterprise APIs, relational databases, and third-party services to deliver AI-driven business processes, working with engineers and stakeholders in an Agile team.

Software Automation Engineer

Python Mate

Nov 2019 - Apr 2021

Built and maintained Python automation frameworks with Selenium WebDriver and TestNG for enterprise web applications, plus reusable libraries that cut regression run time across releases. Wrote SQL scripts to verify backend business rules, data integrity, and workflow correctness, and automated REST API validation with Postman and Python utilities. Integrated automation suites into Jenkins CI/CD pipelines for continuous quality validation and built reporting dashboards to give the team visibility into test execution. Partnered with developers on feature development, defect analysis, release validation, and production deployments within Agile sprints. Evaluated early AI-assisted approaches to test generation and workflow optimization to speed up regression coverage.