9.2 CGPA, 6 LPA vs 6.8 CGPA, 32 LPA: How 80+ setbacks and one mantra helped him crack Microsoft twice
TIMES OF INDIA ·
For engineering students, CGPA can sometimes feel like the ultimate measure of academic success. But a LinkedIn post by Microsoft software engineer Aditya Jamwal presents a very different picture: a hypothetical 9.2 CGPA student earning 6 LPA, while a 6.8 CGPA student lands a 32 LPA package.The difference is Rs 26 lakh a year.Jamwal's larger point was that recruiters may not care about a marksheet once a candidate reaches the interview room. What matters then is whether the student can solve problems, explain technical concepts and demonstrate the skills required for the job.Interestingly, Jamwal's own Microsoft journey offers a real-life example of another part of that lesson: persistence.80+ applications, four responses and two offersIn a LinkedIn post shared around six months ago, Jamwal revealed that he had applied to more than 80 roles at Microsoft from September 2025 onwards. Only four applications resulted in a response.Yet two of those responses turned into interviews scheduled in parallel.One was for Microsoft's Azure team in Hyderabad, while the other was for the Xbox team in Noida. Jamwal says he cleared the rounds for both and received offers from both teams.He eventually accepted one offer, while the other opportunity and his remaining applications were dropped after his decision.For him, the experience came down to a simple mantra: not giving up.What the 6.8 CGPA example really meansJamwal's CGPA example is not an argument against academic performance. A strong CGPA remains valuable, particularly when companies use academic cut-offs during campus recruitment.His point is that academic performance and interview performance are two different skills.In his example, the 6.8 CGPA candidate spent time developing capabilities that could directly influence technical interviews. These included practising around 50 DSA patterns, building a project that could withstand detailed questioning and learning Low-Level Design and system design.The candidate also strengthened core Computer Science subjects such as Operating Systems, Database Management Systems and Computer Networks, while learning Generative AI fundamentals.Jamwal described DSA as the gate, rather than the complete preparation strategy. In today's technology hiring environment, candidates may also need system design knowledge, strong Computer Science fundamentals, AI awareness and the ability to apply what they know.The lesson beyond CGPA and salaryThe striking contrast between 9.2 CGPA and 6 LPA and 6.8 CGPA and 32 LPA is ultimately about preparation, not marks.A high CGPA can open doors, but students still have to perform when those doors lead to an interview. Similarly, a lower CGPA does not automatically prevent someone from competing for ambitious roles if they develop relevant skills and can demonstrate them effectively.Jamwal's own journey adds another dimension: even reaching Microsoft may require repeated attempts. More than 80 applications produced only four responses, but two interviews were enough to produce two offers.For students preparing for technology careers, the message is therefore straightforward: do not optimise only for the college examination. Build the ability to clear the interview that comes after it.Disclaimer: This article is based on publicly available information and social media posts shared by the individuals or sources cited. The views and claims expressed are those of the respective sources and do not necessarily reflect the views of TOI Education.Get the latest Education News and Live updates. Download the TOI app.
AI 시장 분석
본 뉴스 기사는 구직자가 80번 이상의 실패를 극복하고 Microsoft에 두 번 합격한 개인적인 역경 극복 과정을 다루고 있습니다. 학점과 초기 연봉의 한계를 넘어선 성취를 조명하며 개인의 커리어 개발에 초점을 맞추고 있습니다. 거시경제나 특정 산업 전반에 미치는 직접적인 재무적 영향은 제한적입니다.
DYAX 전담 분석
개인의 취업 성공 스토리는 거시경제 지표나 특정 기업의 실적에 직접적인 인과관계를 미치지 않습니다. 따라서 광범위한 자산 가격 변동이나 섹터별 주가 등락으로 이어지지 않는 일반적인 인적 자본 관련 콘텐츠입니다.
향후 시장 영향 평가 시 본 기사와 같은 사안은 무시되며, 고용 시장 지표나 테크 기업의 채용 규모 등 거시 데이터가 핵심 지표로 활용됩니다. 투자자는 개별 기업의 펀더멘털과 무관한 성공담보다는 실질적인 실적 발표에 주목해야 합니다.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
Bullish (Long) 48% · Bearish (Short) 52%
317 participants
Related News
- HYPE jumps 20% as Trump signals legal US path for Hyperliquid
- Bitcoin, ether surge as Trump urges Congress to pass crypto Clarity Act
- Necessary license is missing: If the Bitcoin provider suddenly goes down
- Global crypto exchanges liquidated traders' positions by almost $3 billion in one day
- Rushed CLARITY Act vote could set legislation back, Gallego warns
- Blueprint Finance Announces Strategic Funding Round to Scale Concrete's Institutional DeFi Infrastructure
