AI Engineer with less than a year in AI/ML with 0.8 Years of Internship Experience
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Highly motivated Computer Science Engineering student with a strong academic record and hands-on experience in AI/ML, NLP, and full-stack development. Proven ability to design and implement multimodal AI systems, optimize algorithms for distributed workloads, and perform data analysis for data-driven decision-making. Skilled in Python, machine learning frameworks, cloud services, and various web technologies, seeking to leverage technical expertise in a challenging role.
Kalinga Institute of Industrial Technology
B.Tech in Computer Science Engineering · Computer Science Engineering
August 1, 2022 – June 30, 2026
L.R. D.A.V. Public School
12th, CBSE · PCMB
N/A – May 31, 2021
L.R. D.A.V. Public School
10th, CBSE
N/A – May 31, 2019
IIT Guwahati
Summer Research Intern
May 1, 2025 – July 1, 2025
Guwahati, Assam, India
IIT Bhubaneswar
Summer Data Analyst Intern
June 1, 2023 – November 1, 2023
Bhubaneshwar, Odisha, India
Paimon - Multimodal AI Assistant (Voice + Vision + Memory)
February 1, 2026 – March 1, 2026
Developed a multimodal AI assistant integrating voice input (Azure Speech) and vision with NLP-based query processing using Gemini API, enabling natural voice-driven task automation. Designed an end-to-end AI pipeline: speech-to-text → tokenization → vectorization → semantic retrieval (ChromaDB + Azure AI Search) → context-aware LLM response generation. Implemented session-based memory and embedding-driven retrieval for context-aware, personalized responses across interactions. Built FastAPI backend with asynchronous request handling and Docker containerization to optimize response latency and system scalability.
View ProjectViolence Guard: Multimodal Audio-Visual Violence Detection
September 1, 2025 – November 1, 2026
Developed a multimodal ML model combining audio and video data to detect anomalies, achieving 91% accuracy. Applied data preprocessing, feature extraction, and model optimization techniques to improve prediction performance. Designed backend APIs for real-time data processing and scalable deployment.
View ProjectBhagavad Gita Mood-Based Chatbot
June 1, 2025 – July 1, 2025
Built an NLP-driven chatbot using transformer models (RoBERTa, BART) to perform sentiment analysis and generate context-aware responses, simulating real-world recommendation systems. Designed REST APIs and integrated MongoDB for efficient data retrieval and structured query handling. Developed end-to-end data pipeline for processing user inputs, extracting insights, and generating meaningful outputs.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from multimodal AI assistants to violence detection and chatbots, indicates a broad interest in various AI applications. Their involvement in academic projects and internships at IITs suggests a collaborative and research-oriented mindset. The technologies used align well with an AI Engineer role, demonstrating a willingness to explore and implement cutting-edge solutions. The focus on academic projects, while valuable, means their experience in a corporate, product-driven environment is limited, which could impact cultural fit in a purely industry-focused team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations and internship experiences. Their ability to design and optimize systems for performance and scalability indicates a proactive and results-oriented approach. The academic nature of projects suggests a strong learning aptitude and ability to apply theoretical knowledge to practical scenarios. However, without direct work experience beyond internships, the operational fit in a fast-paced industry environment needs further validation.