AI Engineer with less than a year in AI/ML, NLP, and Data Science.
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Assessing your cultural and operational fit
Highly motivated and results-driven AI Engineer with 7 months of experience in developing and implementing AI-powered solutions. Skilled in machine learning, natural language processing, and deep learning, with a proven ability to design and build systems from concept to deployment. Eager to leverage strong technical skills and problem-solving abilities to contribute to innovative projects in a dynamic environment.
Vardhaman College Of Engineering
Bachelor of Technology · Computer Science Engineering (AI&ML)
November 1, 2021 – April 1, 2025
Pranava Junior College
Higher Secondary Education · PCM
August 1, 2019 – June 1, 2021
Hitachi Digital Services
Intern
February 1, 2026 – Present
India
CodEvo Solutions
Data Science Intern
August 1, 2025 – September 1, 2025
India
Telugu Language Low-Resource ASR Fine-Tuning With Wav2Vec2-XLSR-300 and Interface Development
October 1, 2024 – April 1, 2025
Developed a Telugu ASR system using Wav2Vec2-XLSR-300 and Microsoft Telugu Corpus to address low-resource speech recognition challenges. Achieved significantly lower Word Error Rate (WER) than traditional HMM-GMM systems, with a fast Real-Time Factor (RTF) of 0.003. Published in IEEE GINOTECH 2025: IEEE Xplore Link
View ProjectGender-Based Speech Emotion Recognition Using Deep Learning
June 1, 2024 – September 1, 2024
Developed a gender-aware speech emotion recognition model using CRNN for feature extraction and sequence modeling. Achieved 95.83% accuracy in gender classification and 54.94% in emotion recognition using RAVDESS, Emo-DB, and CREMA-D datasets
View ProjectMachine Learning with Python Certification
Cognitive Class
June 1, 2026 – Present
Natural Language Processing Course Completion
Great Learning
June 1, 2026 – Present
Deloitte Cyber Job Simulation(Forage)
Forage
March 1, 2025 – Present
Data Analytics Job Simulation
Deloitte (Forage)
February 1, 2025 – Present
Telugu Language Low-Resource ASR Fine-Tuning With Wav2Vec2-XLSR-300 and Interface Development
IEEE GINOTECH 2025: IEEE Xplore
January 1, 2025 – Present
Gender-Based Speech Emotion Recognition Using Deep Learning
Unknown
June 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science Engineering (AI&ML) and diverse project portfolio (ASR, emotion recognition, self-healing systems, data science projects) indicate a strong interest and alignment with an AI-focused role. Participation in hackathons (LeetCode, HackerRank) and certifications demonstrate a proactive learning attitude and commitment to skill development. The academic projects and internships show a breadth of exposure to different AI/ML domains, which is beneficial for adaptability.
Soft Skills & Operational Fit
The candidate's involvement in extracurricular activities suggests good team collaboration and communication skills. The project descriptions indicate an ability to work on complex problems and deliver measurable results. The internship experience at Hitachi Digital Services shows initiative and practical application of advanced AI concepts in a professional setting.