AI Systems Engineer & Open-Source Author

Engineering Profile & Background

Final-year B.Tech in Artificial Intelligence & Data Science at Prathyusha Engineering College with a CGPA of 8.53/10. Author of 4 published PyPI distributions and architect of production AI platforms.

PEC · CGPA 8.53 / 10
4 Published PyPI Packages
Available 2026 / 2027
Engineering Focus & Philosophy

Building AI Systems That Work Beyond the Demo.

I am an AI developer and systems engineer focused on turning probabilistic model outputs into predictable, production-grade software. Rather than treating foundation models as black boxes or building superficial wrappers, I engineer the backend pipelines, guardrails, and evaluation harnesses that make AI dependable under real workloads.

My engineering philosophy centers on deterministic reliability over raw prompt optimism, defense-in-depth security to neutralize prompt injections and sensitive data leakage before execution, and traceable evaluation using automated regression suites and strict schema contracts.

EducationB.Tech in Artificial Intelligence & Data Science
Institution & MeritPrathyusha Engineering College · CGPA 8.53 / 10
Availability
Graduating May 2027 · Open to AI Engineering Roles
Core Engineering Capabilities4 Focus Areas

Production LLM & Agent Architectures

Stateful agent loops with structured tool-calling boundaries, async streaming generators, token-budgeted context windows, and deterministic fallback paths.

Hybrid Retrieval & RAG Systems

Multi-tenant vector search with pgvector (HNSW) paired with sparse BM25 lexical ranking, Reciprocal Rank Fusion (RRF), and cross-encoder re-ranking.

In-Process AI Security & Guardrails

Pre-execution prompt sanitization, heuristic injection defense, token leakage filters, and PII redaction operating locally without external latency.

Reliability, Evaluation & Automation

Deterministic assertion suites for agent step sequences, schema contract testing with Pydantic/Zod, synthetic regression harnesses, and CI/CD quality gates.

Specialized Systems:Medical 3D volume rendering, computer vision (YOLO), & Unity simulation
Degree & Verified Credentials

Education & Certifications

Formal engineering degree credentials and verified technical certifications.

Undergraduate Degree

B.Tech in Artificial Intelligence and Data Science

Prathyusha Engineering College

Thiruvallur, Tamil Nadu · Aug 2023 – Expected May 2027

Cumulative GPA:8.53 / 10 CGPA
Academic Standing:Zero active backlogs

Core Coursework: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Distributed Systems, Database Management, and Data Structures & Algorithms.

Verified Certifications (6)

OpenCV University2024

OpenCV Bootcamp

Grade: 100% · Certificate of Completion

NPTEL, IIT Madras2024

Joy of Computing Using Python

Elite · 77% Consolidated Score

NPTEL2024

Introduction to Machine Learning

Verified Academic Certification

NPTEL2024

Cloud Computing

Verified Technical Certification

IBM / Coursera2023

Databases and SQL for Data Science

Professional Certificate Credential

Learn More Pro2024

Power BI Micro Course

Practical Business Intelligence