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AI Research Engineer with 1+ years in NLP & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in natural language processing and AI, including building custom models for code-mixed language tasks. Skilled in Python, data analysis, and developing machine learning systems. Demonstrates strong analytical thinking and problem-solving ability, with a focus on applying technology to solve real-world challenges.
The Assam Royal Global University
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Apollo International Hospital
Software Developer Summer Intern
May 1, 2025 – July 1, 2025
Guwahati, Assam, India
Acmegrade Pvt. Ltd.
Web Development Intern
June 1, 2024 – August 1, 2024
Guwahati, Assam, India
Sentiment Analysis for Raw & POS tagged Assamese-English Code-mix data
June 24, 2026 – Present
Designed and implemented Large Language Models (LLM) for Sentiment Analysis for Raw vs POS tagging on low-resource, code-mixed Assamese-English text. Achieved significant improvements in sentiment analysis accuracy over existing baselines for Assamese-English code-mixed corpora.
Code-Mixed Automatic Speech Recognition
June 24, 2026 – Present
Developed an Automatic Speech Recognition (ASR) system for Assamese-English code-mixed speech using fine-tuned Whisper models. Built a custom data-set for code-mixed speech transcription.
Machine Learning Pipeline Engineer
July 1, 2025 – June 1, 2026
Designed and integrated customized NLP and Python-based machine learning models for independent clients. Built Python scripts to scrape, clean, and structure messy data, converting unstructured text into clean datasets for custom projects. Developed functional backend logic and connected APIs to ensure smooth data flow between user interfaces and machine learning models. Handled projects from start to finish independently, talking with clients to understand their needs and writing the code to solve them.
Cultural Fit Analysis
The candidate's academic projects focus on challenging, low-resource language problems, indicating an interest in impactful and innovative research. Their 'Machine Learning Pipeline Engineer' role shows an entrepreneurial spirit and client-facing skills. The diverse project types (academic, personal, internship) and exposure to different domains (healthcare, web development, AI/ML) suggest adaptability and a broad interest in applying technical skills, which aligns well with a dynamic research environment.
Soft Skills & Operational Fit
The candidate demonstrates strong critical thinking, problem-solving, and project management skills, as highlighted in their summary and project descriptions. Their experience in coordinating with cross-functional teams and handling client interactions suggests good communication and collaboration abilities. The independent handling of ML pipeline projects indicates a proactive and self-sufficient work attitude.