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MSc. in AI & ML | Software Developer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sarvam AI
Software Developer
June 14, 2026 – Present
LLM-for-Gastroenterology
September 20, 2024 – September 27, 2024
Build chatbot to collect symptoms and provide triage and diagnosis to patients
View Projectglyph-to-character
September 19, 2024 – September 19, 2024
Extract glyphs from PDF to get correct Unicode using a VLM
View Projectml-algos
August 24, 2024 – September 17, 2024
Implement various ML algorithms and loss functions from scratch
View Projectllm-rag
August 22, 2024 – September 17, 2024
Use an LLM (Gemini/Mistral) to build IR system using RAG, and pinecone for vector db
View Projectlearn-haskell
August 21, 2024 – September 17, 2024
Learn and practice haskell through "Learn You a Haskell"
View ProjectwebUI-for-LLM
August 20, 2024 – August 22, 2024
Simple web UI for API-based LLM inference for models available on HuggingFace
View ProjectAudio_SS_Deep-Learning
February 27, 2024 – February 27, 2024
An IoT-based safety system utilising deep learning techniques to analyse environmental sounds in real-time. Employed sensors to capture audio signals and leveraged classification algorithms, including CNN-based and RNN-based models, for accurate sound recognition.
View ProjectViTforImbalancedData
September 27, 2023 – September 19, 2024
Enhancing Visual Learning for Limited Data in Disease Diagnosis: Leveraging the power of vision transformers to learn useful features and using them with a custom classifier
View ProjectABSA
September 23, 2023 – September 23, 2023
Aspect Based Sentiment Analysis for Customer Reviews (Laptop)
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong interest in AI/ML and a drive for self-improvement. However, the current experience level (0) and the target role 'Software Developer' suggest a potential mismatch if the role requires extensive experience in traditional software development outside of AI/ML. The projects are diverse within the AI/ML domain but lack breadth in other software engineering areas, which might impact cultural fit for a general software developer role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-directed learning approach, but there is no information on teamwork, communication, or problem-solving in a collaborative environment.