Koniganti Rohith Reddy

Koniganti Rohith Reddy

As a Backend & AI Engineer, I am driven by an ambitious pursuit of mastery, consistently applying logic and insightfulness to dissect complex challenges. I take full accountability for delivering innovative, high-quality solutions, always striving for the ideal outcome in my work.

Contact details — on requestProof of Work — on request

Experience

P

Backend & AI Engineer Intern

Proficon Labs Pvt Ltd · Jul 2025 – Dec 2025

Not yet confirmed
  • Built an AI-powered project management platform (FastAPI + Django + MongoDB) for tracking schedules, tasks, and team workloads, replacing manual tracking workflows.
  • Designed the platform as a set of independently deployable microservices communicating over REST behind an API gateway, enabling isolated scaling and deployment of the task, scheduling, and AI-assistant modules.
  • Built a retrieval-augmented generation (RAG) pipeline (LangChain + Groq + Qdrant) powering a natural-language assistant for manager queries such as capacity and overdue-task lookups.
  • Implemented Qdrant semantic search, reducing retrieval latency by ~30%; instrumented services with OpenTelemetry for distributed tracing and observability.
  • Containerized services with Docker to standardize local development and deployment environments across the microservices.
P

Back End Developer Intern

Proficonlabs · Jul 2025 – Dec 2025

Not yet confirmed
  • • Built an AI-powered project management platform (FastAPI + Django + MongoDB) for tracking schedules, tasks, and team workloads, replacing manual tracking workflows.
  • • Designed the platform as a set of independently deployable microservices communicating over REST behind an API gateway, enabling isolated scaling and deployment of the task, scheduling, and AI-assistant modules.
  • • Built a retrieval-augmented generation (RAG) pipeline (LangChain + Groq + Qdrant) powering a natural-language assistant for manager queries such as capacity and overdue-task lookups.
  • • Implemented Qdrant semantic search, reducing retrieval latency by ~30%; instrumented services with OpenTelemetry for distributed tracing and observability.
  • • Containerized services with Docker to standardize local development and deployment environments across the microservices.
Infosys Springboard

Software Developer Intern

Infosys Springboard · Oct 2024 – Dec 2024

Not yet confirmed
  • Built 10+ REST API endpoints in Python with Django, improving data processing throughput by ~25% and cutting average response latency from 320ms to 210ms through query optimization.
  • Delivered 3 sprint milestones on schedule as part of a 6-person Agile/Scrum team.
Infosys Springboard

Software Engineer Intern

Infosys Springboard · Oct 2024 – Dec 2024

Not yet confirmed
  • • Built 10+ REST API endpoints in Python with Django, improving data processing throughput by ~25% and cutting average response latency from 320ms to 210ms through query optimization.
  • • Delivered 3 sprint milestones on schedule as part of a 6-person Agile/Scrum team.
G

Full Stack Developer Intern

Genesis IT Solutions · Jun 2024 – Jul 2024

Not yet confirmed
  • Built Flask REST APIs with optimized SQL queries, reducing database latency by 40% across 3 core modules.
  • Implemented JWT authentication with role-based access control (4 permission levels), securing endpoints for a 200+ user system.
G

Full Stack Engineer Intern

Genesis IT Solutions · Jun 2024 – Jul 2024

Not yet confirmed
  • • Built Flask REST APIs with optimized SQL queries, reducing database latency by 40% across 3 core modules.
  • • Implemented JWT authentication with role-based access control (4 permission levels), securing endpoints for a 200+ user system.

Skills 0 proven through work

Also works with

Feature OwnershipEnd-to-End System UnderstandingSoftware Architecture PrinciplesResume ATS ScoringResume Parsing and Keyword MatchingAPI Key ManagementTechnical TroubleshootingError HandlingBackend TroubleshootingMLOps ImplementationAI Solution ImplementationAI Solution DesignModel Training ExecutionTaking OwnershipProduction-Grade System DesignGenerative AI ApplicationToken ValidationRBAC Module DevelopmentJWT Authentication Filter ImplementationAPI Response InspectionDatabase Index CreationBuilding Web ApplicationsFlask Web DevelopmentApplication MaintenanceTrade-off AnalysisProduction Deployment VerificationTabular Data Cleaning & ValidationEfficient SQL Data SelectionDatabase Query AnalysisDiagnosing Performance IssuesAPI Testing with PostmanAPI Performance OptimizationProcess ImprovementDjango REST Framework DevelopmentDatabase Query OptimizationDjango Web DevelopmentApplication DeploymentPerformance TestingContext StructuringProcessing Pipeline OptimizationDocument ChunkingVector Database UsageLow-Latency System OptimizationQuery WritingSolution ImplementationWork Planning and PrioritizationRequirements AnalysisProblem SolvingAI Agent DevelopmentQuery Engine DevelopmentSemantic SearchEmbedding GenerationSentence Transformer UsageRetrieval-Augmented GenerationReliability ImprovementAPI IntegrationLLM Application IntegrationDatabase ManagementREST API Endpoint DevelopmentFastAPI DevelopmentPython DevelopmentPlatform DevelopmentProject Management Application DevelopmentMachine Learning ApplicationBackend Development

Proof of Work

Proof of Work

Koniganti shares this with people who ask. You'll hear back either way.

Education

B.Tech, Data Science & AI

ICFAI University · 2022 — 2026

Contact details

Contact details

Koniganti shares this with people who ask. You'll hear back either way.

What drives their work

The Architect — Builds what holds

The Architect

Systematically designs and refines the underlying structures for robust performance.

Koniganti's superpower

You excel at diagnosing system bottlenecks and engineering precise, efficient solutions that significantly enhance performance and reliability.

How Koniganti works

You are best suited for teams that value deep technical problem-solving and the development of scalable, high-performance backend and AI systems.

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