- Joined
- 2/17/25
- Messages
- 7
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- 1
Dear Recruiters on QuantNet,
I hope this message finds you well.
My name is Nihar Jani, a recent Bachelor of Technology graduate in Computer Science from Ahmedabad University. I am currently an incoming Master of Quantitative Finance (MQF) student at Rutgers Business School (Fall 2025, OfferLetter.pdf ). I am writing to express my interest in a Quantitative Researcher / Quant Analyst / HFT / Quant Related Internship opportunity between March and August 2025. I would be delighted to work with your team, but if that’s not possible, I would be eager to work as a Quantitative Researcher / Quant Analyst / HFT / Quant Related Internship through your network also.
I am eager to reallocate also.
My passion for applying computational and statistical rigor to financial markets drives me to pursue this internship. While financial gain is not my primary motivation, I am eager to gain pure experience before starting my master’s degree. This experience will help me gain an edge in my class, as the competition in today’s world is fierce, and an edge can be invaluable in the future.
I am particularly interested in understanding the role of quant in the financial industry before embarking on my master’s degree. This hands-on experience will enhance my comprehension of the concepts covered in my classes, providing me with a solid foundation for success.
.
Why I’m a Strong Fit
1. Technical Expertise:
* Python/C++: Built low-latency ML models (e.g., EV range prediction at Trickce, 92% accuracy) and optimized algorithms (40% speedup in Brain Tumor Segmentation, LOR Nihar.Rhythm Agrawal.pdf ).
* Quantitative Modeling: Statistical analysis of socioeconomic drivers of Kalazar Disease (logistic regression) and derivatives pricing coursework (Columbia Financial Engineering certification, Certificates_List_Nihar_Mahesh_Jani.docx ).
2. Relevant Experience:
* CTO (Tech Lead ) , Trickce: Led on-device AI model development for EV performance prediction, balancing real-time data processing and risk mitigation. ( Nihar J. on LinkedIn: #startups #innovation #googleforstartups #iima #trickee #innovation… )
* Internships: Researched accessible tech solutions (Birmingham City University, BCU Offer Letter.pdf ) and engineered computer vision pipelines (Kalindi Engineering).
3. Academic Rigor:
* I scored an impressive 99.17th percentile in JEE Mains Mathematics( LETTER OF RECOMMENDATION-Nihar.pdf ), ranking among the top 0.83 percentile out of 12 lakh students. This achievement is particularly noteworthy as JEE Mains serves as a crucial entrance exam for prestigious NITs and IITs. Additionally, I have secured certifications in Machine Learning from Stanford University and have completed coursework in Applied Linear Algebra, Probabilistic Graphical Models, and Human-Computer Interaction (HCI).
I also possess excellent communication and teamwork skills. I served as the Secretary of the IEEE Ahmedabad University Student Branch for a year, from March 1, 2023, to March 2024. During my tenure, I spearheaded events related to Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Deep Learning, Internet of Things (IoT), and career-related services. Additionally, I invited renowned personalities for their prestigious talks. Furthermore, I worked at two Non-Governmental Organizations (NGOs): Green Bhumi Foundation and Prabhat Education Foundation.
( EXTRA_CURRICULAR_ACTIVITIES.pdf )
Why This Internship?
I aim to bridge my technical foundation with hands-on quant experience before starting at Rutgers. My goal is to contribute to impactful projects—whether in algorithmic trading, risk modeling, or data-driven strategy development—while learning from industry experts like yourself.
Proof of my 99.17th percentile rank in JEE Mains Mathematics, placing me among the top 0.83 percentile out of 12 lakh students: ( LETTER OF RECOMMENDATION-Nihar.pdf )
What I Offer
* Rapid assimilation of complex systems (e.g., PyTorch, BRATS 2020 dataset).
* Collaborative problem-solving (recommended by IIT Ashram’s Director and Trickce’s CEO).
* A relentless drive to innovate, evidenced by Trickce’s selection for Google’s AI Academy Program.
I would welcome the chance to discuss how my skills align with your team’s needs. Thank you for considering my application.
Any referral from you would be incredibly helpful to me and would greatly benefit my career. I would be very grateful for your assistance.
Best regards,
Nihar Jani
niharmaheshjani@gmail.com | 
+91 6352516405
LinkedIn: https://www.linkedin.com/in/nihar-j-8824011bb |
GitHub: NiharJani2002 - Overview
I hope this message finds you well.
My name is Nihar Jani, a recent Bachelor of Technology graduate in Computer Science from Ahmedabad University. I am currently an incoming Master of Quantitative Finance (MQF) student at Rutgers Business School (Fall 2025, OfferLetter.pdf ). I am writing to express my interest in a Quantitative Researcher / Quant Analyst / HFT / Quant Related Internship opportunity between March and August 2025. I would be delighted to work with your team, but if that’s not possible, I would be eager to work as a Quantitative Researcher / Quant Analyst / HFT / Quant Related Internship through your network also.
I am eager to reallocate also.
My passion for applying computational and statistical rigor to financial markets drives me to pursue this internship. While financial gain is not my primary motivation, I am eager to gain pure experience before starting my master’s degree. This experience will help me gain an edge in my class, as the competition in today’s world is fierce, and an edge can be invaluable in the future.
I am particularly interested in understanding the role of quant in the financial industry before embarking on my master’s degree. This hands-on experience will enhance my comprehension of the concepts covered in my classes, providing me with a solid foundation for success.
.
Why I’m a Strong Fit
1. Technical Expertise:
* Python/C++: Built low-latency ML models (e.g., EV range prediction at Trickce, 92% accuracy) and optimized algorithms (40% speedup in Brain Tumor Segmentation, LOR Nihar.Rhythm Agrawal.pdf ).
* Quantitative Modeling: Statistical analysis of socioeconomic drivers of Kalazar Disease (logistic regression) and derivatives pricing coursework (Columbia Financial Engineering certification, Certificates_List_Nihar_Mahesh_Jani.docx ).
2. Relevant Experience:
* CTO (Tech Lead ) , Trickce: Led on-device AI model development for EV performance prediction, balancing real-time data processing and risk mitigation. ( Nihar J. on LinkedIn: #startups #innovation #googleforstartups #iima #trickee #innovation… )
* Internships: Researched accessible tech solutions (Birmingham City University, BCU Offer Letter.pdf ) and engineered computer vision pipelines (Kalindi Engineering).
3. Academic Rigor:
* I scored an impressive 99.17th percentile in JEE Mains Mathematics( LETTER OF RECOMMENDATION-Nihar.pdf ), ranking among the top 0.83 percentile out of 12 lakh students. This achievement is particularly noteworthy as JEE Mains serves as a crucial entrance exam for prestigious NITs and IITs. Additionally, I have secured certifications in Machine Learning from Stanford University and have completed coursework in Applied Linear Algebra, Probabilistic Graphical Models, and Human-Computer Interaction (HCI).
I also possess excellent communication and teamwork skills. I served as the Secretary of the IEEE Ahmedabad University Student Branch for a year, from March 1, 2023, to March 2024. During my tenure, I spearheaded events related to Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Deep Learning, Internet of Things (IoT), and career-related services. Additionally, I invited renowned personalities for their prestigious talks. Furthermore, I worked at two Non-Governmental Organizations (NGOs): Green Bhumi Foundation and Prabhat Education Foundation.
( EXTRA_CURRICULAR_ACTIVITIES.pdf )
Why This Internship?
I aim to bridge my technical foundation with hands-on quant experience before starting at Rutgers. My goal is to contribute to impactful projects—whether in algorithmic trading, risk modeling, or data-driven strategy development—while learning from industry experts like yourself.
Proof of my 99.17th percentile rank in JEE Mains Mathematics, placing me among the top 0.83 percentile out of 12 lakh students: ( LETTER OF RECOMMENDATION-Nihar.pdf )
What I Offer
* Rapid assimilation of complex systems (e.g., PyTorch, BRATS 2020 dataset).
* Collaborative problem-solving (recommended by IIT Ashram’s Director and Trickce’s CEO).
* A relentless drive to innovate, evidenced by Trickce’s selection for Google’s AI Academy Program.
I would welcome the chance to discuss how my skills align with your team’s needs. Thank you for considering my application.
Any referral from you would be incredibly helpful to me and would greatly benefit my career. I would be very grateful for your assistance.
Best regards,
Nihar Jani
niharmaheshjani@gmail.com | +91 6352516405LinkedIn: https://www.linkedin.com/in/nihar-j-8824011bb |
GitHub: NiharJani2002 - Overview
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