Jaswant Charith Uppalapati

Computer Science Engineer · AI/ML & Robotics · Bengaluru, Karnataka, India

Now Project Trainee at ISRO LEOS · CEO, MANAVEX

Experience

Sets product vision and turns client needs into solution plans, then leads the system and product design that delivers them.
Lead, Product and Engineering; co-lead, Technology.
Backend services, APIs and database structures; frontend, backend and external-service integrations.
Code review, engineering standards and technical prioritisation.
Business operations, client engagement and new opportunities.
Systems shipped with production partners: CropNow (CropDesk, TheDotProject, NEST) and ATEON Labs.

Contributing to the 3/6-Axis Robotic Arm with Computer Vision for Faulty PCB Detection and PCB Inspection project, focusing on robotic-arm software, simulation, control, and computer-vision components.
Developed Python-based robotic-arm control and simulation software and gained hands-on experience with NVIDIA Isaac Sim for robotic simulation and experimentation.
Worked with YOLO-based computer-vision models for PCB inspection and faulty-component detection within the robotic inspection workflow.
Designed and developed internal software applications for LEOS, including VISHVASYA, KARYADESH, and SFMS, supporting internal engineering and organizational workflows.
Built applications using Django, REST APIs, and SQLite/PostgreSQL, deployed on Ubuntu-based intranet infrastructure for internal use.
Contributed to technical research and research-paper development under the guidance of scientists at ISRO LEOS.

Progressed from an AI/ML internship into the Founder's Office and later a Founder's Fellowship, taking increasing responsibility across software engineering, product development, technical strategy, research, and organizational operations.
Led the software engineering team for NEST, a Taiwan Presidential Hackathon-winning project, contributing across web applications, backend architecture, cloud infrastructure, and IoT firmware.
Built backend systems using Django, supported cloud infrastructure on AWS, worked with PostgreSQL, and developed embedded firmware in C++ using PlatformIO.
Designed and developed CropDesk, a centralized software platform for CropNow's connected IoT ecosystem, supporting device management, data, analytics, and platform integration.
Took product ownership of AkashBhumi, leading research, product ideation, planning, design, team coordination, and execution in collaboration with organizational leadership.
Led cross-functional initiatives involving research, field operations, audits, strategic planning, and new-project development.
Serve as Head of the Data Security & Centralisation Committee, contributing to organizational data centralization and security initiatives.

Progressed from Event Coordinator to Secretary, taking increasing responsibility for technical activities and events within the university IoT club.
Conducted IoT workshops and technical sessions for junior students covering sensors, microcontrollers, embedded systems, and practical project development.
Worked on hands-on embedded and computer-vision projects involving ESP32, LoRa, Raspberry Pi, and OpenCV.
Participated in a line-following robot competition, contributing to robot development and tuning.

11 websites shipped for CropNow and MANAVEX clients.

Programming: Python, C++
Core Computer Science: DBMS, Computer Networking, Data Structures & Algorithms
Backend & APIs: Django, Django REST Framework, FastAPI, REST APIs
AI/ML: PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, NLTK
Computer Vision: OpenCV, YOLO
Databases: PostgreSQL, SQLite
Cloud & Infrastructure: AWS, Azure, Ubuntu, Docker
Embedded & Robotics: ESP32, Raspberry Pi, Teensy, PlatformIO, LoRa, NVIDIA Isaac Sim, ROS

REVA University
Computer Science & Information Technology (AI & ML) · 2023 - 2027
CGPA 8.03/10 (up to 3rd year)

"Development of a Web-Based Process Life-Cycle Management Framework for Quality Assurance of Satellite Sensors" · NCRS 2026, abstract accepted
"An Attention-Guided Multi-Plane Approach for Estimating Gestational Age from Fetal Brain MRI" · ML4H 2026, manuscript submitted (submission no. 80)