Yash Modi is a final-year computer engineering student from Surat. His family has faced significant challenges, including long-term health issues with his grandfather and fluctuations in his father’s diamond machine business, especially during the COVID-19 pandemic. These circumstances created a difficult home environment during his school and college years. Motivated by a deep curiosity for new technologies, particularly Artificial Intelligence, Yash chose computer engineering to build a stable and promising career.
The Code Unnati program was a turning point for Yash. He joined early in his college journey, learning Python in his second year, ahead of his college curriculum. In the advanced course, his mentor, Dr. Praful Vinayak, provided crucial guidance on machine learning, IoT, and real-world interview techniques. Yash also utilized the program’s portal for quizzes and tests to strengthen his concepts, and he received direct advice on how to apply for jobs through the platform.
This comprehensive support led to Yash securing a position as an AI Agent Developer Intern. He excelled in a competitive selection process, which involved building an AI-powered spam filter, and was selected as one of the top four candidates from across India. He has now started his professional career, earning a stipend and gaining experience with cutting-edge AI technologies. This job provides financial stability and the means to support his parents, whom he hopes to take on many foreign trips.
“My mentor didn’t just teach us subjects; he guided us on the reality of companies and interviews. That guidance is the reason I landed a job in AI, a field I’ve been fascinated by since school.”
Khushiben Posiya’s journey to becoming a developer at Blue Dwarf Technologies began in a small farming family in Junagarh, where her father works as a farmer and her mother is a homemaker. Her path to technology wasn’t straightforward—after failing her 12th standard exams, she faced one of the most challenging periods of her life. “I didn’t know what to do,” she recalls. “But I chose to give myself another chance.”
Her efforts led her to pursue a diploma in engineering, where she discovered her love for computers. “I really like to work with computers,” Khushiben shares. “I’m really understanding the things which happen in computer languages.” Her potential was recognized when she joined the SAP-led Code Unnati program.
The program provided comprehensive training in machine learning, IoT, and cloud technologies. Khushiben particularly excelled in IoT, despite it not being her forte initially. “Code Unnati provided everything for IoT—registers, LED bulbs, speakers—everything personally to learn how to work with it,” she explains. She applied these skills to develop “Calories Sensei,” an innovative machine learning project that calculates food calories through image recognition and suggests personalized exercises and recipes.
Through SAP Business Technology Platform and SAP Analytics Cloud, Khushiben gained hands-on experience with enterprise-grade tools. “We learned SFB’s tool—it was our first time working with such technology,” she notes. These technical skills, combined with the project experience, proved crucial during her interviews at Blue Dwarf Technologies, where she was selected from 15–16 candidates. Now working as a developer while completing her final year, Khushiben acknowledges how the program shaped her career: “The project I made through Code Unnati helped me get this job. I already suggested to many people—if your college provides this program, just go and finish it because it creates great opportunities.”
Lakshmi Sanjana is a B.Tech student from Hyderabad. Her family manages their expenses carefully, with her father working as a construction supervisor and her mother working to support her college education. Despite a strong interest in computer science from her school days, her learning was often self-directed through online resources.
The Code Unnati program provided Sanjana with structured and advanced training in Python programming, introducing her to important tools and modules like MongoDB, NumPy, and Flask. She applied these new skills to a practical project, developing a cardiovascular disease prediction tool.
This experience strengthened Sanjana’s foundation in technology and solidified her interest in fields like AI and Data Science.
“The program gave me a much clearer idea of how the outside world works and what companies are looking for. Learning how to present my projects confidently has been especially helpful, and I feel better prepared for my interviews now.”
