Sarath Kumar
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer @August AI | LLM Engineer (Contributor) @UnifyAI | B.Tech Bioengineering - Indian Institute of Technology Jodhpur | Research Intern @ CMU, IITJ
As an aspiring Bioengineer from the prestigious Indian Institute of Technology Jodhpur, I have always been fascinated by the incredible capabilities of AI, from Alpha Fold to groundbreaking advancements in medical AI applications like Med-PaLM. During my undergraduate studies, I had the opportunity to co-author research papers and work on cutting-edge research projects at Carnegie Mellon University and the Indian Institute of Technology Jodhpur. My work involved constructing computational pipelines for processing sensor data, applying machine learning models to medical imaging for cervical cancer detection, and developing predictive models for bacterial concentrations. My skills include Apache Spark, SQL, and machine learning. I am proficient in Python and have certifications in Transformer-Based Natural Language Processing, Data Analysis with Python, Neural Networks and Deep Learning. If you think I could be a good fit for your company or would like to discuss potential collaborations, please feel free to contact me. I look forward to the opportunity to connect and work together.
Indian Institute of Technology Jodhpur
Bachelor of Technology - BTech, Bioengineering and Biomedical Engineering
December 1, 2020 – May 1, 2024
August AI
AI Engineer
October 1, 2024 – Present
Bengaluru, Karnataka, India · On-site
Unify
LLM Engineer (Contributor)
July 1, 2024 – October 1, 2024
Remote
Longevity InTime BioTech
Machine Learning Engineer
July 1, 2023 – January 1, 2024
Remote
Indian Institute of Technology Jodhpur
Undergraduate Researcher
January 1, 2023 – October 1, 2023
Jodhpur, Rajasthan, India · On-site
Carnegie Mellon University
Research Intern
July 1, 2022 – October 1, 2022
Pittsburgh, Pennsylvania, United States
Indian Institute of Technology Jodhpur
Research Intern
July 1, 2021 – October 1, 2022
Jodhpur, Rajasthan, India
InMovidu Technologies Pvt Limited
Data Science Intern
February 1, 2021 – March 1, 2021
Hyderabad, Telangana, India
Enhancing Microbial Fuel Cell Performance through Composite Modification of Electrodes with PEDOT:PSS and Graphene Oxide
August 1, 2023 – December 1, 2023
◦ Focused on fabricating a smaller and more efficient Microbial Fuel Cell (MFC) for monitoring Organic Matter. ◦ Enhanced the conductivity through the utilization of PEDOT:PSS/GO electrodes for improved efficiency of MFC. ◦ Achieved an increase in voltage readings in both open-circuit and closed-circuits. ◦ Improved the efficiency of the device and achieved 20% growth in power density.
ADE Minning in English Tweets
July 1, 2022 – November 1, 2022
◦ Developed a state-of-the-art NLP and transformer-based model for classifying tweets reporting ADEs (Adverse Drug Events) that produced an accuracy of 92%. ◦ Mapped colloquial mentions of ADEs in tweets to their standard concept IDs in the MedDRA vocabulary. ◦ Improved the detection and tracking of ADEs in social media data, aiding pharmacovigilance efforts and monitoring drug safety.
Designing an analytical framework for EPS Data in Schizophrenia
January 1, 2022 – April 1, 2022
Designing a method to distinguish EPS positive patients from non-EPS in major psychiatric disorders, quantify the severity of EPS symptoms and estimate EPS projections with time (Time-series analysis).
Proximity Sensor
July 1, 2021 – November 1, 2021
Our primary objective was to prevent accidents in unforeseen weather conditions using sensors. We managed to detect the speed and distance of vehicles or obstacles in the path using cameras and sensors. We used python, OpenCV, and neural networks.
MTA: Introduction to Programming Using Python - Certified 2021
Microsoft
June 25, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 25, 2026 – Present
Building Transformer-Based Natural Language Processing Applications
NVIDIA
June 25, 2026 – Present
Data Analysis with Python: Zero to Pandas
Jovian
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards biomedical and healthcare applications of ML, which aligns well with roles in health tech or research-focused organizations. The diversity of projects (NLP, time-series, image processing, MFC) indicates adaptability and a broad interest in applying ML to different domains. However, the lack of explicit team-based project descriptions or contributions makes it difficult to assess direct cultural fit in a collaborative engineering environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, interdisciplinary problems. The research roles indicate a capacity for independent problem-solving and structured experimentation. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity in a collaborative setting is not possible.