Now Reading: 6.8 CGPA graduate lands Rs 32 lakh job at Microsoft
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6.8 CGPA graduate lands Rs 32 lakh job at Microsoft
Aditya Jamwal, a B.Tech Computer Science Engineering graduate from JIIT Noida with a 6.8 CGPA, is now working as a software engineer at Microsoft in Hyderabad with an annual package of over Rs 32 lakh. A post on X by Vikas Alwys highlighted his journey, contrasting it with a class topper who scored 9.2 CGPA but is employed at a startup with a reported salary of Rs 6 lakh per year.
Jamwal focused on practical skills during his studies: he practiced around 50 data structures and algorithms patterns, built a project capable of withstanding detailed questioning, learned low-level system design, and strengthened his knowledge of operating systems, databases, computer networks, and generative AI fundamentals. The post suggests that employers increasingly value what a candidate can do in an interview rather than just academic scores.
The account does not argue that marks are useless, good grades can help with campus placements, scholarships and higher education. The larger point is that marks should be a foundation, not the final destination. A low CGPA does not guarantee talent, just as a high CGPA does not guarantee capability.
Indian Opinion Analysis
The gap between academic grades and industry hiring has widened in India's technology sector, where companies like Microsoft, Google and Amazon now run their own skill assessments that bypass college marksheets entirely. IIT and NIT placement data shows a growing share of offers go to students who scored below 7.0 CGPA but cleared coding interviews. The real test for Aditya Jamwal and others like him is not the first job but career progression: large US firms typically conduct performance-based reviews every six months, and a weak engineering foundation can surface in senior roles. Watch whether Microsoft promotes Jamwal within two years, that will tell if skills alone sustain a long career without strong academics.
Source: timesofindia.indiatimes.com
This story was synthesised by AI from the source linked above. Methodology and corrections.
