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AI Engineer with less than a year in Computer Vision, LLMs & Data Science
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AI Engineer Intern with 8 months of experience in developing and optimizing AI solutions. Proven ability to engineer core CV pipelines, fine-tune custom YOLO models for real-time streaming, and build multi-agent AI platforms. Skilled in Python, FastAPI, React, and various AI/ML frameworks, with a focus on delivering scalable and efficient machine learning applications for real-world problems.
Thakur College of Engineering and Technology
B.Tech · Computer Science (IoT)
August 1, 2022 – June 30, 2026
Matrice AΙ
ML Engineer Intern
December 1, 2025 – February 1, 2026
India
EngageOS.ai
AI/ML Engineer (Internship)
May 1, 2025 – September 1, 2025
India
MediTranslate – Healthcare Doctor-Patient Translation App
June 1, 2025 – June 1, 2026
Built a real-time voice and text translation platform supporting 20 languages, enabling seamless doctor-patient communication with translated audio playback. Engineered a multimodal pipeline: Browser audio → Groq Whisper large-v3 (STT) → LLaMA 3.3 70B (medical translation) → Edge-TTS speech synthesis. Implemented role-aware translations preserving medical terminology and generated structured clinical summaries including symptoms, diagnoses, and follow-ups.
NovaML – Multi-Agent Data Science Platform
June 1, 2025 – June 1, 2026
Built a multi-agent AI platform using LangGraph with 6 specialized agents to automate data ingestion, preprocessing, model training, and evaluation. Implemented conditional workflow routing with LLM-powered reasoning for intelligent model selection and hyperparameter tuning. Designed a Human-in-the-Loop (HITL) approval system for validating critical workflow stage through a Streamlit (UI).
Distributed System Monitoring AI Platform
June 1, 2025 – June 1, 2026
Architected a distributed real-time monitoring system with Python agents and a central FastAPI backend to ingest and analyze OS metrics (CPU, memory, network) across nodes. Developed an AI anomaly detection engine using Isolation Forest, reducing false positive alerts by 30-40% compared to static thresholding; containerized full stack with Docker Compose.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse AI applications, from healthcare translation to multi-agent data science and distributed system monitoring. This breadth of interest aligns well with an innovative and research-oriented culture. However, the experience is primarily in internships and personal projects, which might require adaptation to a more structured corporate environment. The psychometric test score indicates potential areas for growth in team collaboration and work attitude, which are crucial for cultural integration.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on optimizing performance and reducing costs. The experience in building end-to-end platforms suggests strong operational awareness and the ability to deliver complete solutions. The psychometric test score (285/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit.