while(alive){
learn();
build();
debate();
deploy();
}π CSE @ IIT Indore
π§ ML Engineer @ DivAIne.io
β‘ Building AI systems that reason, defend, detect, predict, and occasionally outperform benchmarks.
- multimodal reasoning systems
- real-time intelligence agents
- RAG architectures with agentic workflows
I like building systems that sit at the intersection of:
- AI Γ reasoning
- accuracy Γ prediction
- speech Γ voice Γ multimodal learning
Somewhere between training transformers to getting attention, I discovered that I enjoy solving hard problems under pressure.
Also yes, my Codeforces handle is literally:
cinderella_but_bootsKafka streams, Pathway pipelines, LSTMs, SARIMAX, RAG agents, and controlled chaos.
- Achieved 70.8% directional accuracy
- Built adversarial-noise filtering agents with 92% verification accuracy
- GP trading agent delivered 30.6% ROI
Because scam calls deserve a counterattack.
- Deepfake detection
- phishing protection
- scam call analysis
- LLM-assisted citizen grievance handling
π 2nd Place β Indore Smart City Hackathon
Trustless auctions with anti-snipe logic and IPFS-backed assets.
- Solidity + Foundry backend
- React/Wagmi frontend
- Node.js IPFS proxy
- Gas optimized by 21%
Built under :contentReference[oaicite:0]{index=0}.
π Published at the AVSEC Challenge 2025, alongside :contentReference[oaicite:0]{index=0}.
Research focused on multimodal speech enhancement using:
- cross-attention mechanisms
- squeezeformer architectures
- audio-visual representation exchange
- robust noisy speech reconstruction
Built at the intersection of speech processing, deep learning, and multimodal reasoning β because sometimes audio alone just isnβt enough.
π Paper: https://doi.org/10.21437/AVSEC.2025-13
π arXiv: https://doi.org/10.48550/arXiv.2510.05295
Python | C++ | Solidity | SQL | JavaScript
PyTorch β’ TensorFlow β’ OpenCV β’ Transformers β’ LangChain
RAG β’ FAISS β’ Pinecone β’ NLP β’ CV β’ Librosa
Kafka β’ Pathway β’ Docker β’ Linux β’ Node.js
React β’ Express β’ REST APIs β’ Foundry β’ IPFS
- π₯ Inter IIT Tech Meet 14.0
- π₯ Smart City Hackathon
- π₯ IITISoC ML Domain
- π INTERSPEECH 2025 Publication
- βοΈ Codeforces Expert
- πΌ LinkedIn: https://www.linkedin.com/in/sanskriti-jain-000588319/
- π« Email: sansjain23.11@gmail.com
βFirst solve the problem. Then optimize the latency. Then debate whether the problem was framed correctly.β
