Sakshi C.-I bridge the gap between complex engineering theory and production-ready applications by developing scalable systems and

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Experience
Software Engineering Intern
Fidelity International
- Developing and optimizing modular backend components, leveraging data-driven evaluation techniques to improve the efficiency and output quality of AI-assisted workflows.
- Participating in end-to-end agile development cycles, contributing to code reviews, debugging, and performance tuning to ensure robust and reliable application performance.
AI Trainer /AI Expert
DataAnnotation
- Contributing to the development and fine-tuning of Large Language Models (LLMs) by evaluating and ranking multi-turn AI responses for logical consistency, factual accuracy, and technical code quality.
- Acting as a subject matter expert in STEM/CS contexts to provide high-quality training data, directly influencing RLHF (Reinforcement Learning from Human Feedback) training outcomes for frontier AI models.
Software Engineering Apprenticeship
Katalyst India
- Selected for a premier national women-in-STEM leadership program from a cohort of 2,000+ candidates, focusing on advanced software engineering workflows.
- Architected 5+ production-style system design assignments (including scalable ride-sharing systems) under the mentorship of Morgan Stanley industry professionals, emphasizing fault tolerance, low-latency design, and high availability.
Industry experience
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Experienced in Information Technology.
Business area experience
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Experienced in Information Technology and Product Development.
Summary
Hello! Sakshi here
Firstly, I will mention my experiences in this field and in Tech.
DataAnnotation | AI Trainer & CS Domain Expert (Jan 2026 – Present) January 2026 – Present
- LLM Evaluation & RLHF: Conducted rubric-based evaluations, RLHF, and fact-checking on multi-turn LLM code outputs for logical consistency and technical accuracy.
- Prompt Engineering & QA: Authored complex technical prompts and performed code analysis to uncover edge-case failures and eliminate model hallucinations. Katalyst India | Software Engineering Apprentice November 2023 – Present
- System Architecture & RFCs: Authored 5+ detailed system design specifications, RFC proposals, and API documents under Morgan Stanley mentorship.
- Engineering Standards: Evaluated low-latency trade-offs, fault tolerance, and microservice modularity to ensure production readiness for scalable systems. Fidelity International | Software Engineering Intern Nov 2023 – Present
- Backend Development & Code Review: Engineered modular backend components and conducted peer code reviews, debugging, and performance optimization in agile sprints.
- AI Workflow Optimization: Benchmarked AI-assisted developer workflows using data-driven evaluation metrics to improve overall code output efficiency.
Now a little about my background to know me as an applicant better: I was born and brought up in India in a small town where Taj Mahal(one of the 7 wonders on the world) is located, my playground as a child being the gardens of Taj Mahal. The history and art made me very curious and creative from childhood prompting me to read and study a lot about history around world and eventually making me a very curious and open minded adult.
I came from a struggling but never a backward family, I got admission in one of the biggest English medium convent private school and got exposed to a lot of interesting hobbies like debate, presentation and exposure to computer science since the 5th standard, thereby sparking my interest in the field.
I was the Head Girl in my senior year and school and I peaked my social skills and talent pool during that period of that. I represented my school across the state and took part in State level Quizzes, Debates and Sports Competitions.
Right now I am pursuing my graduation with computer science as my major and upcoming internship at Fidelity International as Software Developer.
Apart from basic education, I’m an 8x hackathon winner and the founder of The_TACS, where I lead projects at the intersection of AI and real-world problem-solving. My work includes benchmarking AI-generated threat detection data against NASA/NORAD datasets for Thales GenTech and optimizing predictive Random Forest models with ocean data for Ministry of Earth Science.
(Also i recently won the national level competition Thales Gentech Hackathon organized by the official company among 1,00,000 participants, one of my most remarkable performances and I learned a lot about aerospace technologies)
My expertise lies in frontend development, Python, React, and data-driven model evaluation. I am highly comfortable with complex technical prompts, debugging code, and providing clear, actionable critique to help AI models improve their reasoning and output quality.
Since I also have been very actively studying history and have a record of reading a lot of classics(over 300 books covering mythology across the world(Mayan, Chinese, Korean, Greek, roman, Aztec, Indian), history, human nature, psychology and philosophy), I have active interest in those domains as well.
I have also been tutoring and teaching since 6th standard, at home as well as in institutions and have learned a lot about making things very very simple to understand. I follow the virtue of the quote- If you cannot teach a 5 year old about a topic, they you do not have complete knowledge about the topic yet.
And I have experience in believing that the current AI tools or chatbots definitely needs these improvements. (Its so awful that i can look at a paragraph for a single second and recognize it as AI Written, so yea I do want to improve this aspect in the cuurent systems).
I am also a writer at heart and love to express complex things in written fashion.
My writing and reading skills have significantly helped me to grasp things very quickly, come up with sentences very quick and do any task or improve any point (Whether written or Oral) effectively. (I actually give the credit to Shakespearean texts illustrated in old English that helped me get these cognitive and language skills).
Another hidden talent that I have is the art of skimming. Now one may find this a disadvantage as they may think that i cannot go deep into a topic, but let me tell you about this. I can skim through a page in less than 20 seconds and imagine the words as story in my head(I have a very visual memory) and I actually understand the content fully along with the emotion of the writer. (These skills got me reading over 300 books a year, paying my mind in this certain way:)
Apart from these, my background is the proof that I am a fast and versatile learner and can make anything work out. I am a strong-minded person who values discipline as the top priority in life and wants to work hard in life. Plus, being an workaholic have all the time of the day and a strong urge to work (I literally need to do complex activities or my mind spirals:)
Skills
- Programming Languages: Python, Javascript, Java, C
- Ai & Machine Learning: Tensorflow, Machine Learning, Deep Learning, Natural Language Processing (Nlp), Prompt Engineering, Data Engineering
- Data Science & Analysis: Pandas, Numpy, Scipy, Sql
- Web Development: React.Js, Node.Js, Rest Apis, Html/Css
- Databases: Mongodb (Nosql), Sql
- Tools & Concepts: System Design, Git, Github, Visual Studio Code
Languages
Education
G.L. Bajaj Institute of Technology and Management
B.Tech · Computer Science and Engineering · Greater Noida, India · 8.55
St. Mary's Convent School
Senior Secondary · Physics, Chemistry, Math, Computer Science, English · Agra, India · 90.25%
St. Mary's Convent School
Secondary · English, Hindi, Science, Social Science, Computer Science · Agra, India · 97.8%
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Sakshi is based in Gurugram, India and prefers 100% remote projects.
Sakshi speaks the following languages: English (Native), Hindi (Native).
Sakshi has at least 3 years of experience. During this time, Sakshi has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 1 year. Note that Sakshi may not have shared all experience and actually has more experience.
Based on recent experience, Sakshi would be well-suited for roles such as: Software Engineering Intern, AI Trainer /AI Expert, Software Engineering Apprenticeship.
Sakshi's most recent position is Software Engineering Intern at Fidelity International.
In recent years, Sakshi has worked for Fidelity International, DataAnnotation, and Katalyst India.
Sakshi is most experienced in industries like Information Technology and Banking and Finance.
Sakshi is most experienced in business areas like Information Technology and Product Development.
Sakshi holds a Bachelor in Computer Science and Engineering from G.L. Bajaj Institute of Technology and Management.
Sakshi is immediately available full-time for suitable projects.
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