Shruti Mishra

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Strong foundational knowledge in AI/ML/DL, evidenced by multiple projects (classification, recommendation, image processing, speech emotion recognition) and a relevant B.Tech degree in AI & Robotics.
• Practical experience with real-time data streams and forecasting during a Data Scientist internship, demonstrating real-world application of ML solutions.
• Demonstrated ability to apply deep learning techniques (Complex CNN, 1D-CNN, LSTM) in practical scenarios, including drone integration for agricultural analysis and speech emotion recognition.
• Experience with robotics platforms (ROS2 Humble, Gazebo, Dronekit, Ardupilot) directly relevant to AI Engineer roles involving embodied AI or autonomous systems.
• Proficiency in core programming languages (Python, C++) and MLOps-related tools (Docker, Git, VScode), indicating readiness for development and deployment tasks.
• Proactive learning and initiative demonstrated through certifications (GenAI, DSA), participation in hackathons (Smart India, Flipkart Grid), and multiple internships.