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Tejas Rahul MSTM
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Tejas Rahul MS

@tejasrahulms

Software Engineer building secure, scalable Python/FastAPI backends and RAG-powered AI systems.

India
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What I'm looking for

I’m looking for a role where I can build secure, scalable Python/FastAPI services and AI/RAG pipelines, collaborating in distributed teams. I want strong engineering standards—CI/CD, observability, and measurable improvements to reliability and performance.

I’m a Software Engineer with hands-on experience in programming, testing, implementation, and delivery of high quality, secure, scalable software solutions using Python and FastAPI. I focus on REST API design, object-oriented programming, and engineering best practices, with a strong foundation in data structures and algorithms.

In my current role as Trainee Engineer – AI at PharmaACE Pune, MH, I’ve researched and evaluated technical alternatives across multiple OpenAI models using a 30+ question benchmark—analyzing accuracy, latency, and token usage to recommend production-ready choices. I also develop backend APIs for enterprise NLP use cases and build, test, and deliver RAG pipelines using vector databases and embedding techniques.

Through automation tooling, I support implementation and maintenance of unstructured data extraction and help collect and report software metrics for performance and process efficiency. I’m comfortable working in distributed teams and collaborating across global pharmaceutical clients while keeping reliability and compliance in mind.

My academic projects reflect how I engineer end-to-end systems: ContextCore delivered a distributed RAG knowledge platform with Kafka ingestion, semantic search, and secure multi-tenant isolation using PostgreSQL Row-Level Security (RLS). Career Intelligence integrated 8 external systems via a configurable adapter pattern, used async background workers with Redis Queue (RQ), and added secure API authentication (JWT, bcrypt) with Docker-based CI/CD and metrics reporting.

Experience

Work history, roles, and key accomplishments

PH
Current

Trainee Engineer – AI

PharmaACE

Jan 2026 - Present (6 months)

Evaluated multiple OpenAI models using a 30+ question benchmark to recommend production-ready solutions based on accuracy, latency, and token usage. Built and tested scalable backend APIs and RAG pipelines for enterprise NLP, and supported automation tooling with software metrics collection and reporting.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Karnataka logoNK

National Institute of Technology Karnataka

Bachelor of Technology, Electronics and Communication Engineering

2022 - 2026

B.Tech in Electronics and Communication Engineering at National Institute of Technology Karnataka from 2022 to May 2026.

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