Vishwajeet T.

Vishwajeet T.

India
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About Me

Vishwajeet is a Backend, Data and GenAI engineer with experience building cloud-native platforms on AWS, production-grade ETL on Spark, Snowflake and Retrieval-Augmented Generation (RAG) systems with strong MLOps and observability. Demonstrated expertise in FastAPI backend development, machine learning operations, and full-stack platform engineering across multiple Fortune 500 clients including Pfizer, Charter Communications, and Charles Schwab.

AI, ML & LLM

LLM AI/ML Airflow LangChain ClearML AWS Bedrock Langsmith Langgraph

Frontend

JavaScript Next.js React

Backend

Data Scraping Node.js Python Java REST APIs Django REST Framework Django FastAPI

Database

SQL Vector Databases MongoDB PostgreSQL SQLAlchemy

DevOps

AWS Lambda Kubernetes AWS Grafana Prometheus CI/CD Docker CloudWatch

QA & Testing

PyTest

Workflow

Git

Other

Pandas Numpy Full Stack Development Supabase Lambda Data Modeling Step Functions Linux Async QLora PEFT Material UI EKS Snowflake S3 Parquet EMR Pyspark RDS Pydantic Helm SageMaker Pinecone Dash RAG IAM

Work history

Consultadd Inc - Client: Pfizer
GenAI Engineer
2021 - 2026 (5 years)
Remote

  • Built production FastAPI backend with async endpoints for semantic search, investigation sessions, analytics, and audit/history using Pydantic models for strict request/response contracts

  • Implemented centralized MLOps and GenAI platform with ClearML for experiment tracking, dataset versioning, and model artifact management across multiple oncology and imaging initiatives

  • Delivered RAG system for log analytics with Amazon Titan embeddings, Pinecone vector storage, and AWS Bedrock LLM inference with LangSmith end-to-end monitoring and tracing

FastAPIPythonSQLAlchemyPydanticPyTestClearML AWS SagemakerAWS S3AWS CloudWatchDockerAWS Bedrock LangChain Langsmith Pinecone React Material UIRAG
Consultadd Inc - Client: Charter Communications
Software Engineer (Backend / Platform / GenAI)
2021 - 2026 (5 years)
Remote

  • Built greenfield device onboarding platform on AWS with Dockerized FastAPI services on EKS, PostgreSQL on RDS, and Helm-based deployments with vendor adapters for Ciena and Nokia

  • Optimized high-throughput ingestion pipeline using multiprocessing and connection pooling, reducing ingestion time from 219s to 4.07s (98x improvement)

  • Implemented RAG assistant for NOC runbooks with Pinecone vector store, hybrid retrieval using BM25 and reranking, and LangGraph-orchestrated agents with LLM fine-tuning via PEFT/QLoRA

FastAPIPythonPostgreSQLDockerKubernetesEKSAWS RDSAWS S3AWS CloudWatchHelmSSH automation Dash MongoDBLangChain Langgraph Pinecone OpenAI embeddings Opensearch PEFT QLora Unsloth RAG
Consultadd Inc - Client: Charles Schwab
Software Engineer (Data Engineering)
2021 - 2026 (5 years)
Remote

  • Built REST APIs using Django REST Framework with ViewSets and Routers for versioned endpoints, implementing serializers for consistent contracts and optimizing ORM queries

  • Owned Airflow orchestration for batch ETL with 20+ DAGs including sensors, retries, SLA alerts, and backfills parameterized by load date and environment

  • Wrote PySpark jobs on EMR for ingest/cleanse/conform operations, modeled Snowflake star schemas with SCD Type 2 implementation, and tuned shuffles to meet nightly SLAs

DjangoDjango REST FrameworkAirflowPysparkEMRS3ParquetSnowflakeGitLinuxREST APIs data quality checks

Education

Education
B.Tech. Electronics and Communication
National Institute of Technology, Arunachal Pradesh
2017 - 2021 (4 years)