CHIMALAPATI TEJA SRI HARSHA
Open to work1 years experienceJunior Backend Developer
Junior Backend Developer specializing in FastAPI, Python, and AI/ML workflows.
Standing Rank
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Skills & Technologies
27 skillsWork Experience
Junior Backend Developer
Vils Behavior Intelligence
- Designed and developed backend services using FastAPI for high-performance, asynchronous processing of large-scale audio and text datasets, improving throughput efficiency by 40% over synchronous alternatives.
- Implemented real-time event-driven data pipelines with Kafka to manage streaming audio transcripts.
- Built and maintained automated MLOps workflows to deploy ASR models, achieving multilingual transcription and speaker segmentation; monitored system reliability and availability metrics.
- Architected scalable storage solutions using AWS S3 (raw media) and MongoDB for structured conversation metadata supporting 1000+ concurrent sessions.
- Collaborated with business and technical stakeholders to translate requirements into production-ready services, communicating status, risks, and blockers in a timely manner.
- Optimized ingestion and analytics modules with robust error-handling, achieving 99.5% uptime across production pipelines.
Projects
AI-Powered Resume Parser & Candidate Intelligence Platform
- Designed agentic LLM workflows with prompt-engineered chains to extract structured fields from unstructured PDF resumes with 94% field-level accuracy.
- Implemented Kafka-driven event pipelines for asynchronus resume processing, reducing end-to-end parsing latency by 55% for batches of 1000+ resumes.
- Architected PostgreSQL schema to store both structured candidate metadata enabling hybrid keyword using semantic search.
- Secured all endpoints with JWT + OAuth2 authentication, enforcing role-based access control for recruiters, admins and candidates.
- Stored raw PDFs and parsed artifacrs on AWS S3.
Conversational AI Assistant
- Tracked retrieval quality, latency and user feedback in PostgreSQL.
- Designed a multi-step agentic workflow using Langchain agents where the model autonomously selects between vector retrieval, and web search tools based on query intent.
- Implemented advanced prompt engineering techniques - reducing hallucination rate by 45% on domain-specific queries.
- Exposed the assistant via a FastAPI REST API with streaming responses(SSE) for one-command local.
- Tracked retrieval quality and user feedback in PostgreSQL, used Numpy based analysis to surface and fix low-performing document chunks iteratively.
- Tested APIs end-to-end using Postman collections and validated edge cases such as overlapping leaves and insufficient balance scenarios.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
JEE Mains Rank
Achieved All India Rank 2045 in JEE Mains 2021 out of approximately 9,39,000 students.
National Talent Scholarship Rank
Achieved a State 4th rank in National Talent Scholarship.
About Details
Professional Bio
Junior Backend Developer with expertise in FastAPI, Python, Kafka, and MongoDB. Experienced in building scalable MLOps workflows, real-time data pipelines, and AI-driven systems. Passionate about optimizing backend performance and architecting robust, high-availability services.
B.Tech in Computer Science and Engineering in Computer Science and Engineering
National Institute of Technology Calicut (2021 - 2025)