AI Engineer with less than a year in AI/ML & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking a strong foundation in the software industry where I can leverage my coding and problem-solving abilities to deliver reliable and scalable solutions, while keeping flexibility to work across various domains of technology and innovation.
Prananath Autonomous College
Intermediate
June 1, 2022 – May 31, 2023
Carmel English Medium School
Matriculation
June 1, 2020 – May 31, 2021
GIFT Autonomous
B.Tech · Computer Science and Engineering (AI)
N/A – Present
CTTC
AI-ML Intern
June 2, 2025 – June 30, 2025
Bhubaneshwar, Odisha, India
CTTC
Python Intern
July 1, 2024 – July 31, 2024
Bhubaneshwar, Odisha, India
COSMIC WATCH: Planetary Threat Index
June 16, 2026 – Present
The Challenge: Built a real-time tracking terminal to ingest raw NASA telemetry and calculate instant risk-assessment metrics for Near-Earth Objects (NEOs). Engineering Approach: Real-Time Data: Implemented Socket.io for a low-latency, bi-directional handshake, streaming automated NASA NeoWs updates every 60 seconds. Risk Optimization: Developed an algorithmic engine to calculate target danger indices (0-100%) by analyzing non-linear kinetic energy, mass, and proximity vectors. DevOps & State: Containerized the full-stack system using Docker Compose for unified environment deployment and managed multi-session persistence using Redux Toolkit. Key Outcomes: Delivered a high-performance planetary defense interface featuring sub-second asset delivery via Cloudinary CDN and real-time, low-latency target monitoring.
PRITHVILOK: Decentralized Climate Platform
June 16, 2026 – Present
The Challenge: Built a decentralized system to turn raw environmental data into predictive alerts and organized community action. Engineering Approach: Data Pipeline: Integrated Node.js and Python to ingest multi-source data from satellites, IoT sensors, and community logs. AI Modules: Developed time-series models for AQI forecasting and a computer vision pipeline for waste image classification. Mapping & Trust: Utilized GIS protocols for real-time spatial heatmaps and decentralized protocols to protect data transparency. Key Outcomes: Created a unified, impact-driven data architecture connecting environmental insights directly to regional community mobilization.
SIGNIFY: AI-Powered Sign Language Platform
June 16, 2026 – Present
The Challenge: Built a full-stack educational and communication platform featuring a real-time multimodal AI translator to convert sign language video feeds into text. Engineering Approach: AI Integration: Developed a multimedia processing pipeline using Gemini 2.5 Flash and Multer to ingest WebM video blobs from the client, processing frames with custom dialect translation logic. Real-Time Engine: Built a bi-directional communication layer using Socket.io to synchronize global community chats and dynamic emoji reactions across concurrent users. Full-Stack Architecture: Implemented a secure backend utilizing Node.js, Express, and MongoDB Atlas, integrated with a Glassmorphism frontend UI built in React and Tailwind CSS. Key Outcomes: Successfully deployed a robust platform offering live video-to-text sign translation, secure OTP authentication via Brevo API, and an interactive learning roadmap.
Emotional Intelligence
NPTEL
January 1, 2024 – Present
The candidate scored 88% on the MERN: Intern test, indicating a strong foundational to intermediate understanding of the MERN stack technologies.
Strengths
Cultural Fit Analysis
The candidate's project diversity (environmental, space defense, accessibility) and participation in hackathons (Eureka Ideathon, Silicon University, IIT Bhubaneswar) indicate a proactive, innovative, and team-oriented mindset. The pursuit of a B.Tech in Computer Science and Engineering (AI) directly aligns with the target role of an AI Engineer. The breadth of technical skills and willingness to tackle varied challenges suggest a good cultural fit for a dynamic and evolving technical team.
Soft Skills & Operational Fit
The candidate's resume highlights adaptability, persistence, and honesty as strengths. The NPTEL Emotional Intelligence certification (AIR 14, 91%) further supports strong soft skills, which are crucial for collaborative environments and handling complex problem-solving in an AI engineering role. The psychometric test score of 352/500 suggests a reasonable work attitude and stress handling, though specific details are not provided.
Limitations