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AI Engineer with 1+ years in Deep Learning & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dynamic AI Engineer with strong expertise in designing and developing scalable machine learning solutions across diverse domains. Skilled in deep learning and computer vision, with a focus on building intelligent, data-driven systems that enhance automation, decision-making, and real-world applications. Passionate about leveraging AI technologies to drive innovation and solve complex engineering problems across industries.
Indian Institute of Technology (IIT), Bhubaneswar
B.Tech. · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Aira Matrix
AI Engineer
July 1, 2024 – Present
Thane, Maharashtra, India
Codiot Technologies
AI Engineer
June 1, 2023 – December 1, 2023
Ahmedabad, Gujarat, India
Indian Institute of Technology Bhubaneswar
AI Research Assistant
May 1, 2021 – May 1, 2024
Bhubaneshwar, Odisha, India
BERT + BIDAF Question Answering
September 1, 2023 – December 1, 2023
Engineered a question-answering system achieving 73.51% accuracy in identifying unanswerable questions. Leveraged bi-directional attention mechanisms and BERT-based feature extraction, achieving an F1 score of 64.3.
View ProjectMedical Image Classification
September 1, 2023 – December 1, 2023
Designed advanced disease localization models using VAE and 3D CNN, achieving a loss of 0.72. Attained 98% accuracy on test datasets, showcasing strong model performance and effectiveness.
ISBI 2026 submission introducing a novel adaptive clustering loss derived from first principles
Unknown
May 1, 2026 – Present
Amazon ML School 2023 certification program
Amazon
September 1, 2023 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for an innovative AI engineering role. Their diverse project portfolio spans NLP, computer vision, medical imaging, and generative AI, showcasing adaptability and a broad interest in AI applications. Active participation and leadership in academic clubs (Tensor, GDSC) indicate a proactive, collaborative, and community-oriented mindset. The candidate's research contributions and focus on real-world problem-solving align well with a culture that values innovation and impact.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team collaboration skills, evidenced by founding and leading an ML club and heading initiatives at GDSC. They possess excellent problem-solving and analytical thinking abilities, crucial for complex AI engineering challenges. Their experience collaborating with senior pathologists and external clients highlights effective communication and stakeholder management. The candidate also shows adaptability and a commitment to continuous learning, essential for a dynamic AI environment.