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AI Engineer with less than a year in LLM-powered applications, RAG workflows, and NLP pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer and fresh graduate with internship experience building LLM-powered applications, RAG workflows, NLP pipelines, and REST APIs using Python, FastAPI, and PyTorch. Skilled in training, evaluating, and deploying ML models within agile teams passionate about GenAI, agentic workflows, and applied machine learning.
Vasireddy Venkatadri Institute of Technology
B.Tech · Computer Science & Engineering (AI & ML)
August 1, 2022 – May 1, 2026
NRI Sai Junior College
Intermediate - MPC · MPC
August 1, 2020 – May 1, 2022
Success High School
SSC · Secondary Education
June 1, 2019 – April 1, 2020
Coastal Seven Technologies
AI/ML Engineer Intern
April 1, 2026 – Present
Guntūr, Andhra Pradesh, India
News Hub - NLP Document Processing Pipeline
June 30, 2026 – Present
Built an NLP text summarization and classification pipeline on 1,000+ documents achieving 85% relevance and reducing reading time by 60% via preprocessing and ML validation.
Lexora AI - LLM-Powered RAG Knowledge Engine
June 30, 2026 – Present
Designed a RAG workflow integrating LLM inference with semantic vector search, indexing 5,000+ documents and improving answer accuracy by 40% while reducing hallucinations by 60%. Engineered prompt engineering strategies cutting response latency from 4.2s to 1.3s; secured with JWT auth, encrypted storage, and audit logging.
View ProjectAI-Powered Talent Hiring Portal - Agentic Hiring Workflow
June 30, 2026 – Present
Built an agentic AI hiring platform with LLM-based resume parsing, ML candidate ranking, and automated document processing pipelines, cutting manual screening by 60%. Developed real-time AI proctoring microservice (YOLOv8 + OpenAI Whisper over WebSockets); architected 12+ REST API endpoints with JWT auth, RBAC, and Docker containerisation.
The Joy of Computing Using Python
NPTEL
October 1, 2024 – Present
Full Stack Development
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong passion for AI/ML and GenAI, aligning well with an AI Engineer role. The diversity of personal projects (RAG, agentic workflows, real-time AI proctoring) indicates initiative and a broad interest in applying AI solutions. The hackathon achievement further demonstrates a competitive spirit and ability to deliver under pressure. The candidate's academic background in Computer Science & Engineering (AI & ML) further reinforces a strong cultural fit for an AI-focused team.
Soft Skills & Operational Fit
The candidate's experience as a Best Class Representative and participation in agile sprints suggest good communication, teamwork, and leadership potential. The hackathon award indicates problem-solving under pressure. However, the overall experience level is entry-level, which might require more operational guidance in a senior role.