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Python Engineer with less than a year in distributed backend systems and data pipelines, skilled in
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Recent Computer Science graduate (May 2026) with hands-on experience building distributed, high-throughput backend systems and data pipelines Python, Node.js, PostgreSQL, REST APIs, Docker, and multi-service orchestration. LeetCode Top 8.24% globally (Contest Rating: 1787) with 336+ problems solved, demonstrating strong algorithmic and systems level foundations. Published IEEE researcher and open-source contributor takes full ownership of components, writes highly maintainable code, and proactively resolves performance and scalability issues.
Prasad V Potluri Siddhartha Institute of Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Oxford Junior College
Intermediate · Mathematics, Physics, Chemistry
June 1, 2020 – May 31, 2022
DocAns Distributed Data Pipeline Platform
January 1, 2026 – June 1, 2026
Designed and owned a distributed multi-service data pipeline platform end-to-end ingestion, transformation, and routing of structured and unstructured data across PostgreSQL (relational), Qdrant (vector), and Neo4j (graph) stores; orchestrated 6+ interdependent services with automated health checks, dependency sequencing, and retry logic on Linux/Docker. Engineered high-throughput FastAPI REST endpoints with input validation and access control; implemented hardware targeted runtime profiles (CPU/GPU) to optimise pipeline throughput and reduce latency across execution environments. Instrumented end-to-end observability with Langfuse monitored pipeline health, identified performance bottlenecks, and iterated on architecture to improve scalability and output quality; built n8n automation pipelines for reliable, low-latency workflow execution.
View ProjectE-Commerce SaaS Platform
January 1, 2026 – June 1, 2026
Built a production-grade full-stack multi-tenant SaaS application Node.js/Express.js backend with RBAC, Stripe payment integration, NoSQL (MongoDB) schemas; designed for scalability with modular, independently maintainable service components. Enforced code quality through automated unit and integration test suites, CI/CD-ready deployment pipelines, input validation, authorization guards, and secrets management resolved security defects and performance issues before every deployment.
View ProjectGRAIL-RAG: Multi-Layer Guardrails for Document-Grounded QA
January 1, 2026 – June 1, 2026
Co-authored peer-reviewed IEEE paper designed and benchmarked a high-throughput retrieval pipeline (BM25 + FAISS, cross encoder re ranking, session-aware memory, safety guardrails) achieving 92.6% faithfulness and 90% hallucination reduction. Demonstrates ability to own a complex system, measure performance rigorously, and improve quality through iteration.
View ProjectURL Shortener Microservice
January 1, 2026 – June 1, 2026
Engineered a production-grade microservice with structured SQL analytics, expiry aware lifecycle automation, end-to-end API test coverage, and full technical documentation demonstrating ownership and engineering rigour at every scale.
View ProjectOBLITERATUS
January 1, 2026 – June 1, 2026
Independently diagnosed a breaking production defect on an unfamiliar codebase root cause analysis, clean backward-compatible Python fix, shipped via open source Git workflow. Demonstrates individual ownership and initiative in real production systems.
Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Google AI-ML Virtual Internship
AICTE
June 1, 2026 – Present
AI Foundation Certification
Infosys Springboard
June 1, 2026 – Present
Introduction to NLP
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, covering distributed data pipelines, e-commerce SaaS, and microservices, indicating a broad interest in different technical domains. Their involvement in competitive programming and open-source contributions suggests a proactive and collaborative mindset. The certifications in Azure and AI/ML, along with leadership roles in technical workshops, show a commitment to continuous learning and knowledge sharing. While the experience is academic, the depth and complexity of projects align well with a culture that values innovation and technical rigor.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and ownership, as evidenced by independently diagnosing and fixing a production defect (OBLITERATUS) and co-authoring a research paper. Their project descriptions highlight a focus on scalability, maintainability, and quality assurance, which are crucial for operational fit in a senior role. The competitive programming background suggests a strong drive for problem-solving and continuous improvement.