AI Engineer with less than a year in backend development, LLMs, and Generative AI applications.
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Computer Science Engineering student with hands-on experience in building AI-powered and scalable backend applications using FastAPI, Django, and Large Language Models (LLMs). Skilled in Generative AI, RAG systems, REST APIs, and database management with strong foundations in Data Structures and Algorithms. Passionate about developing real-world AI solutions, solving complex problems, and continuously learning emerging technologies in software engineering and machine learning.
Sri Vasavi Engineering College (SVEC)
B.Tech · Computer Science and Engineering
November 1, 2022 – April 1, 2026
Bharatiya Vidya Bhavan's
Intermediate (MPC)
July 1, 2020 – June 1, 2022
4SightAI
Application Development Intern
December 1, 2025 – Present
India
NITAP
Web Development Intern
May 1, 2025 – July 1, 2025
India
AI-Powered Speaking Assistant for Indian Users
June 1, 2026 – June 1, 2026
• Engineered a real-time speech-based AI assistant using Whisper (STT) and LLaMA-3, enabling grammar correction, IPA-based pronunciation feedback, and contextual fluency improvement for over 100 Indian users. • Integrated voice activity detection (VAD) and text-to-speech, enabling seamless real-time interaction with low-latency processing across multiple concurrent speaking sessions. • Delivered personalized audio feedback across 100+ speaking sessions, enhancing user engagement and supporting consistent speaking practice for Indian users.
View ProjectPolitical Sentiment Analysis During Elections
June 1, 2026 – June 1, 2026
• Developed a sentiment analysis pipeline to evaluate public opinion from over 46,000 tweets during the 2019 Indian General Elections, including data cleaning, noise filtering, and text preprocessing. • Mapped sentiment polarity across Indian states using geospatial and time-series visualizations, revealing regional mood shifts and guiding campaign tweaks, leading to a 15% boost in engagement.
View ProjectJurisMind – AI Legal Assistant
June 1, 2026 – June 1, 2026
○ Orchestrated a RAG-based semantic search system with FAISS and HuggingFace, boosting search accuracy by 12% on varied legal documents. • Integrated OCR-based text extraction and document ingestion pipelines to process scanned and digital legal data. • Built backend services using FastAPI with authentication and session-based conversation management, supporting concurrent multi-user interactions. • Implemented a full-stack system with real-time AI responses, achieving 35-40% faster information retrieval compared to keyword-based search.
View ProjectOCI 2024 Generative AI Certified Professional
Oracle Certified
June 1, 2026 – Present
Cloud Computing Certification
AWS Certification - Brainovision
June 1, 2026 – Present
Young Python Professional
Infosys Springboard
June 1, 2026 – Present
Azure AI Fundamentals
Microsoft Certified
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including legal AI, speech assistants, and sentiment analysis, shows a broad interest in applying AI to various domains. Their involvement in community leadership and hackathons indicates a proactive and collaborative mindset. The candidate's skills align well with an AI Engineer role, demonstrating a passion for developing innovative AI solutions and a commitment to continuous learning, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and teamwork skills through their role as Hackathon Lead and Technical Leadership in a student community club. Their project descriptions indicate an ability to work on complex, real-world problems and deliver measurable impact. The focus on optimizing performance and ensuring uptime suggests a practical, results-oriented approach. The candidate's continuous learning is evident through multiple certifications in Generative AI and Cloud Computing.